Pub Date : 2020-03-01DOI: 10.1109/LAGIRS48042.2020.9165685
D. Ratha, D. Mandal, S. Dey, A. Bhattacharya, A. Frery, Y. S. Rao, H. Mcnairn
In this paper, we present two radar vegetation indices for full-pol and compact-pol SAR data, respectively. Both are derived using the notion of a geodesic distance between observation and well-known scattering models available in the literature. While the full-pol version depends on a generalized volume scattering model, the compact-pol version uses the ideal depolariser to model the randomness in the vegetation. We have utilized the RADARSAT Constellation Mission (RCM) time-series data from the SAMPVEX16-MB campaign in the Manitoba region of Canada for comparing and assessing the indices in terms of the change in the biophysical parameters as well. The compact-pol data for comparison is simulated from the full-pol RCM time series. Both the indices show better performance at correlating with biophysical parameters such as Plant Area Index (PAI) and Volumetric Water Content (VWC) for wheat and soybean crops, in comparison to the state-of-art Radar Vegetation Index (RVI) of Kim and van Zyl. These indices are timely for the upcoming release of the data from the RCM, which will provide data in both full and compact-pol modes, aimed at better crop monitoring from space.
{"title":"New Vegetation Indices For Full And Compact Polarimetric Sar Data: In Preparation For The Radarsat Constellation Mission (RCM)","authors":"D. Ratha, D. Mandal, S. Dey, A. Bhattacharya, A. Frery, Y. S. Rao, H. Mcnairn","doi":"10.1109/LAGIRS48042.2020.9165685","DOIUrl":"https://doi.org/10.1109/LAGIRS48042.2020.9165685","url":null,"abstract":"In this paper, we present two radar vegetation indices for full-pol and compact-pol SAR data, respectively. Both are derived using the notion of a geodesic distance between observation and well-known scattering models available in the literature. While the full-pol version depends on a generalized volume scattering model, the compact-pol version uses the ideal depolariser to model the randomness in the vegetation. We have utilized the RADARSAT Constellation Mission (RCM) time-series data from the SAMPVEX16-MB campaign in the Manitoba region of Canada for comparing and assessing the indices in terms of the change in the biophysical parameters as well. The compact-pol data for comparison is simulated from the full-pol RCM time series. Both the indices show better performance at correlating with biophysical parameters such as Plant Area Index (PAI) and Volumetric Water Content (VWC) for wheat and soybean crops, in comparison to the state-of-art Radar Vegetation Index (RVI) of Kim and van Zyl. These indices are timely for the upcoming release of the data from the RCM, which will provide data in both full and compact-pol modes, aimed at better crop monitoring from space.","PeriodicalId":111863,"journal":{"name":"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124427090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/LAGIRS48042.2020.9165611
Santiago A. Rodriguez Gonzalez, M. Shimoni, J. Plaza, A. Plaza, I. Renhorn, J. Ahlberg
Recent innovations in microelectronic and semiconductor technology enable the creation of smaller and economical hyperspectral cameras. A filter combined camera with advanced scanning module is a game changer that extends the application of miniature hyperspectral imagers to many security domains. This work presents the assessment of the imager L4 from Glana Sensors to detect concealed targets in woodland areas. Several target detection methods were applied to a collection of scenes acquired under various illumination conditions and containing different materials. The potential and limitations of this new imaging device in the context of difficult target detection in forested area are evaluated and discussed.
{"title":"The Detection of Concealed Targets in Woodland Areas using Hyperspectral Imagery","authors":"Santiago A. Rodriguez Gonzalez, M. Shimoni, J. Plaza, A. Plaza, I. Renhorn, J. Ahlberg","doi":"10.1109/LAGIRS48042.2020.9165611","DOIUrl":"https://doi.org/10.1109/LAGIRS48042.2020.9165611","url":null,"abstract":"Recent innovations in microelectronic and semiconductor technology enable the creation of smaller and economical hyperspectral cameras. A filter combined camera with advanced scanning module is a game changer that extends the application of miniature hyperspectral imagers to many security domains. This work presents the assessment of the imager L4 from Glana Sensors to detect concealed targets in woodland areas. Several target detection methods were applied to a collection of scenes acquired under various illumination conditions and containing different materials. The potential and limitations of this new imaging device in the context of difficult target detection in forested area are evaluated and discussed.","PeriodicalId":111863,"journal":{"name":"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117325366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/LAGIRS48042.2020.9285974
S. Santos, N. V. Ribeiro
The Território Quilombola Kalunga de Goias (TKG) was established by law n°. 11,409/GO, and was federally regularized as territory in 2009. Its total area covers three Municipalities of Goias: Monte Alegre de Goias, Teresina de Goias and Cavalcante. There live remaining communities of quilombolas. The present work aims to evaluate the recurrence of fires in this Territory and in its surroundings, doing relationships between land use and land cover and burned areas. For this purpose, were used data generated from satellite images, made available in public databases, and procedures in GIS. During the annualized time, the frequency of fires was moderate. Grassland had the largest proportion of burned areas.
Território Quilombola Kalunga de Goias (TKG)于1993年根据法律成立。11,409/GO，并于2009年被联邦政府规范化为领土。它的总面积包括戈亚斯的三个市:蒙特阿雷格里德戈亚斯，特雷西纳德戈亚斯和卡瓦尔坎特。那里还住着“歌伦波拉”的残余群体。本工作的目的是评价该领土及其周围地区火灾的复发情况，研究土地利用、土地覆盖和烧毁地区之间的关系。为此目的，使用了从公共数据库提供的卫星图像产生的数据和地理信息系统程序。在年化时间内，火灾发生频率适中。草地的燃烧面积占比最大。
{"title":"Fire in Território Quilombola Kalunga - Go - Brazil: An Assessment of Frequency, Location and Consequences","authors":"S. Santos, N. V. Ribeiro","doi":"10.1109/LAGIRS48042.2020.9285974","DOIUrl":"https://doi.org/10.1109/LAGIRS48042.2020.9285974","url":null,"abstract":"The Território Quilombola Kalunga de Goias (TKG) was established by law n°. 11,409/GO, and was federally regularized as territory in 2009. Its total area covers three Municipalities of Goias: Monte Alegre de Goias, Teresina de Goias and Cavalcante. There live remaining communities of quilombolas. The present work aims to evaluate the recurrence of fires in this Territory and in its surroundings, doing relationships between land use and land cover and burned areas. For this purpose, were used data generated from satellite images, made available in public databases, and procedures in GIS. During the annualized time, the frequency of fires was moderate. Grassland had the largest proportion of burned areas.","PeriodicalId":111863,"journal":{"name":"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)","volume":"5 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116787775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/LAGIRS48042.2020.9165663
I. Díaz-Hormazábal, D. Valencia, J. Valenzuela
Wetlands protection has been a constitutive part of the conservation strategies that the Chilean Forest Service has implemented in the Protected Wild Areas of Chile. These ecosystems are highly vulnerable to changes in their hydrological regime, generating direct effects on the biodiversity associated with them. These changes may be related to the rainfall regime, however, the activities of drainage, overgrazing, landfill, or tributary deviation are the greatest threats that these ecosystems face today. For years, long-term satellite information was dismissed in the Chilean public service due to the lack of technical, computational or software capabilities. Nowadays, cloud computing tools with massive geodata analysis have democratized remote sensing, giving way to the development of web applications and online information analysis platforms. An interactive web application was developed in Google Earth Engine (GEE) that uses spectral indexes correlated with the presence of water, generating estimates in “almost real time” on Landsat and Sentinel-2 images. The Surface Water Satellite Monitoring Platform allows the automatic processing through the internet of the images available for the analyzed wetlands, overcoming the time and computational capacity restrictions required with conventional geomatics programs. This has allowed to support the management of these ecosystems, reducing the costs of field work and increasing the efficiency in the monitoring of wetlands in the Protected Wild Areas of Chile.
{"title":"Implementation Of Technologies in the Public Service: Geomatics in the Cloud for Monitoring Wetlands in Protected Areas","authors":"I. Díaz-Hormazábal, D. Valencia, J. Valenzuela","doi":"10.1109/LAGIRS48042.2020.9165663","DOIUrl":"https://doi.org/10.1109/LAGIRS48042.2020.9165663","url":null,"abstract":"Wetlands protection has been a constitutive part of the conservation strategies that the Chilean Forest Service has implemented in the Protected Wild Areas of Chile. These ecosystems are highly vulnerable to changes in their hydrological regime, generating direct effects on the biodiversity associated with them. These changes may be related to the rainfall regime, however, the activities of drainage, overgrazing, landfill, or tributary deviation are the greatest threats that these ecosystems face today. For years, long-term satellite information was dismissed in the Chilean public service due to the lack of technical, computational or software capabilities. Nowadays, cloud computing tools with massive geodata analysis have democratized remote sensing, giving way to the development of web applications and online information analysis platforms. An interactive web application was developed in Google Earth Engine (GEE) that uses spectral indexes correlated with the presence of water, generating estimates in “almost real time” on Landsat and Sentinel-2 images. The Surface Water Satellite Monitoring Platform allows the automatic processing through the internet of the images available for the analyzed wetlands, overcoming the time and computational capacity restrictions required with conventional geomatics programs. This has allowed to support the management of these ecosystems, reducing the costs of field work and increasing the efficiency in the monitoring of wetlands in the Protected Wild Areas of Chile.","PeriodicalId":111863,"journal":{"name":"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115452510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/lagirs48042.2020.9165676
F. Cereceda-Balic, M. Ruggeri, V. Vidal
Black Carbon (BC) is indicated as the main atmospheric pollutant that obscures snow surfaces and absorbs solar energy, which accelerates the melting of ice/snow and produces glacier retreat. The case of Chile is of particular interest because it has most part of the Andean cryosphere, which has responded strongly to climate change through a retreat of their glaciers, having implications in the availability of freshwater for the inhabitants and economic activities. In this work, the aim was to investigate and quantify for the first time the impact that BC could have on the differences observed in the glacial retreat in the study area, decoupling this impact of the climatic and glaciological factors, through which it has not been possible to explain the difference in glacier behavior in the zone. In this case, two glaciers with comparable characteristics from the Central Andes of Chile were studied: Olivares Alpha Glacier (OAG) and Bello Glacier (BG). The spatio-temporal evolution (2004-2014) was studied using remote sensing images (Landsat). This information was analyzed together with measured data of BC concentrations in air and snow for the year 2014. Results showed important differences in glacier retreat, -27.6% for OAG vs. -5.1% for BG (2004-2014), together with a significantly higher impact of BC in OAG than BG. Regarding the sources of the measured BC, considering that both glaciers are at a similar distance from Santiago, it can be considered that there is another source influencing OAG, which could be the mountain mining activities, considering the small distance existing between this glacier and the mines.
{"title":"Glacier Retreat Differences In Chilean Central Andes And Their Relation With Anthropogenic Black Carbon Pollution","authors":"F. Cereceda-Balic, M. Ruggeri, V. Vidal","doi":"10.1109/lagirs48042.2020.9165676","DOIUrl":"https://doi.org/10.1109/lagirs48042.2020.9165676","url":null,"abstract":"Black Carbon (BC) is indicated as the main atmospheric pollutant that obscures snow surfaces and absorbs solar energy, which accelerates the melting of ice/snow and produces glacier retreat. The case of Chile is of particular interest because it has most part of the Andean cryosphere, which has responded strongly to climate change through a retreat of their glaciers, having implications in the availability of freshwater for the inhabitants and economic activities. In this work, the aim was to investigate and quantify for the first time the impact that BC could have on the differences observed in the glacial retreat in the study area, decoupling this impact of the climatic and glaciological factors, through which it has not been possible to explain the difference in glacier behavior in the zone. In this case, two glaciers with comparable characteristics from the Central Andes of Chile were studied: Olivares Alpha Glacier (OAG) and Bello Glacier (BG). The spatio-temporal evolution (2004-2014) was studied using remote sensing images (Landsat). This information was analyzed together with measured data of BC concentrations in air and snow for the year 2014. Results showed important differences in glacier retreat, -27.6% for OAG vs. -5.1% for BG (2004-2014), together with a significantly higher impact of BC in OAG than BG. Regarding the sources of the measured BC, considering that both glaciers are at a similar distance from Santiago, it can be considered that there is another source influencing OAG, which could be the mountain mining activities, considering the small distance existing between this glacier and the mines.","PeriodicalId":111863,"journal":{"name":"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115546047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/LAGIRS48042.2020.9165560
P. Olea, O. Monserrat, C. Sierralta, A. Barra, L. Bono, F. Fuentes, Q. Zhiwei, B. Crippa
The application of Satellite Differential SAR interferometry (DInSAR) has become a reliable solution as a tool for mapping and monitoring geohazards. Few years ago, the main applications of these techniques were devoted to science. However, nowadays, the easy access to SAR imagery and the maturity of the techniques to exploit these type of data has widened the user’s spectrum from only scientists to professional and decision makers. The advent of Sentinel-l satellites has significantly contributed to this achievement. In particular, in the field of geohazard risk management, Sentinel-l has solved one of the main constraining factors that hindered the operational use of interferometric techniques in the past: the lack of systematic acquisition plans. In this context, Sentinel-l assures worldwide coverage with short temporal baselines (6 to 24 days). This has supposed a definitive step towards the implementation of DInSAR based techniques to support decision makers against geohazards. In this work, we show the first experiences of the remote sensing unit of the Geological and Mining Survey of Chile (Semageomin) with Sentinel-l data. Three different case studies in different areas of the Chilean territory are presented. The examples illustrate how DInSAR based techniques can provide different levels of information about geohazard activity in different environments.
{"title":"Mapping and monitoring ground instabilities with Sentinel-l data: the experience of Sernageomin","authors":"P. Olea, O. Monserrat, C. Sierralta, A. Barra, L. Bono, F. Fuentes, Q. Zhiwei, B. Crippa","doi":"10.1109/LAGIRS48042.2020.9165560","DOIUrl":"https://doi.org/10.1109/LAGIRS48042.2020.9165560","url":null,"abstract":"The application of Satellite Differential SAR interferometry (DInSAR) has become a reliable solution as a tool for mapping and monitoring geohazards. Few years ago, the main applications of these techniques were devoted to science. However, nowadays, the easy access to SAR imagery and the maturity of the techniques to exploit these type of data has widened the user’s spectrum from only scientists to professional and decision makers. The advent of Sentinel-l satellites has significantly contributed to this achievement. In particular, in the field of geohazard risk management, Sentinel-l has solved one of the main constraining factors that hindered the operational use of interferometric techniques in the past: the lack of systematic acquisition plans. In this context, Sentinel-l assures worldwide coverage with short temporal baselines (6 to 24 days). This has supposed a definitive step towards the implementation of DInSAR based techniques to support decision makers against geohazards. In this work, we show the first experiences of the remote sensing unit of the Geological and Mining Survey of Chile (Semageomin) with Sentinel-l data. Three different case studies in different areas of the Chilean territory are presented. The examples illustrate how DInSAR based techniques can provide different levels of information about geohazard activity in different environments.","PeriodicalId":111863,"journal":{"name":"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115632978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/lagirs48042.2020.9165582
D. Chan, J. Gambini, A. Frery
In this work, a new nonlocal means filter for single-look speckled data using the Shannon and Renyi entropies is proposed. The measure of similarity between a central window and patches of the image is based on a statistical test for comparing if two samples have the same entropy and hence have the same distribution.The results are encouraging, as the filtered image has better signal-to-noise ratio, it preserves the mean, and the edges are not severely blurred.
{"title":"Speckle Noise Reduction In Sar Images Using Information Theory","authors":"D. Chan, J. Gambini, A. Frery","doi":"10.1109/lagirs48042.2020.9165582","DOIUrl":"https://doi.org/10.1109/lagirs48042.2020.9165582","url":null,"abstract":"In this work, a new nonlocal means filter for single-look speckled data using the Shannon and Renyi entropies is proposed. The measure of similarity between a central window and patches of the image is based on a statistical test for comparing if two samples have the same entropy and hence have the same distribution.The results are encouraging, as the filtered image has better signal-to-noise ratio, it preserves the mean, and the edges are not severely blurred.","PeriodicalId":111863,"journal":{"name":"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126637234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/LAGIRS48042.2020.9165578
E. Piegari, J. I. Gossn, Á. Juárez, V. Barraza, G. G. Trilla, F. Grings
In the context of HYPERNETS project, which is developing a relatively low cost hyperspectral radiometer (and associated pointing system and embedded calibration device for automated measurement of water and land bidirectional reflectance), the tidal coastal marsh in the Mar Chiquita (Argentina) lagoon is being characterized as a test site for validation of radiometric variables. High quality in situ measurements will be available at all spectral bands at this site (and other sites over land and water around the world) for the validation of the surface reflectance data issued from all earth observation missions. This site, dominanted by Sporobolus densiflorus vegetation, is a coastal habitat that provides ecosystem services essential to people and the environment. There is evidence that growth and photosynthetic apparatus of S. densiflorus is negatively affected by the herbicide glyphosate, which is extensively used in the Argentinian agricultural production. As a way to monitor this risk, in this work a theoretical study was performed to establish if it is possible to estimate the chlorophyll content ($C_{a+b}$ in S. densiflorus), which concentrations are known to be affected by the herbicide, using hyperspectral reflectance. Signatures recorded in situ plus other parameters obtained from a biochemical characterization of the plant were used to obtain a simulated reflectance with the radiative transfer model PROSAIL. Then, a BaseLine Residual approach, based on close band triplets, was proposed to retrieve $C_{a+b}$. As a result, we found that it is possible to distinguish between two levels of $C_{a+b}$.
{"title":"Radiometric Characterization of a Marsh Site at the Argentinian Pampas in the Context of Hypernets Project (A New Autonomous Hyperspectral Radiometer)","authors":"E. Piegari, J. I. Gossn, Á. Juárez, V. Barraza, G. G. Trilla, F. Grings","doi":"10.1109/LAGIRS48042.2020.9165578","DOIUrl":"https://doi.org/10.1109/LAGIRS48042.2020.9165578","url":null,"abstract":"In the context of HYPERNETS project, which is developing a relatively low cost hyperspectral radiometer (and associated pointing system and embedded calibration device for automated measurement of water and land bidirectional reflectance), the tidal coastal marsh in the Mar Chiquita (Argentina) lagoon is being characterized as a test site for validation of radiometric variables. High quality in situ measurements will be available at all spectral bands at this site (and other sites over land and water around the world) for the validation of the surface reflectance data issued from all earth observation missions. This site, dominanted by Sporobolus densiflorus vegetation, is a coastal habitat that provides ecosystem services essential to people and the environment. There is evidence that growth and photosynthetic apparatus of S. densiflorus is negatively affected by the herbicide glyphosate, which is extensively used in the Argentinian agricultural production. As a way to monitor this risk, in this work a theoretical study was performed to establish if it is possible to estimate the chlorophyll content ($C_{a+b}$ in S. densiflorus), which concentrations are known to be affected by the herbicide, using hyperspectral reflectance. Signatures recorded in situ plus other parameters obtained from a biochemical characterization of the plant were used to obtain a simulated reflectance with the radiative transfer model PROSAIL. Then, a BaseLine Residual approach, based on close band triplets, was proposed to retrieve $C_{a+b}$. As a result, we found that it is possible to distinguish between two levels of $C_{a+b}$.","PeriodicalId":111863,"journal":{"name":"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126819448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/lagirs48042.2020.9165653
E. Spyrakos, P. Hunter, S. Simis, C. Neil, C. Riddick, S. Wang, A. Varley, M. Blake, S. Groom, J. T. Torres Palenzuela, L. Vilas Gonzalez, C. Cárdenas, M. Frangópulos, X. Aguilar Vega, J. Iriarte, A. Tyler
Surface waters are a fundamental resource. They fulfil key function in global biogeochemical cycles and are core to our water, food and energy security. The rapidly increasing rate of data collection from different Earth observation (EO) missions suitable for observing water bodies has promoted satellite remote sensing (RS) as a more widely recognised source of information on a number of indicators of water quality and ecosystem condition at local and global scales. In parallel, advances in optical sensors support new and more detailed characterisation of the Earth surface and could lead to innovative EO-based products. Nonetheless, RS of water colour of inland and coastal systems, especially in larger scales and over long-term time series, faces unique challenges. This study provides an overview of the challenges and solutions of developing a global observation platform, including the diverse and complex optical properties of inland waters and guided algorithm selection procedure required to deliver reliable data. The development and validation of a global satellite data processing chain (Calimnos) has been supported by access to an extensive in situ data from more than thirty partners around the world that are now held in the LIMNADES community-owned database. This approach has resulted in a step-change in our ability to produce regional and global water quality products for optically complex waters. Local examples of the data outputs will be explored and the opportunities in how these data can be embedded within local and national monitoring schemes to facilitate better management of water will be discussed.
{"title":"Moving towards global satellite based products for monitoring of inland and coastal waters. Regional examples from Europe and South America","authors":"E. Spyrakos, P. Hunter, S. Simis, C. Neil, C. Riddick, S. Wang, A. Varley, M. Blake, S. Groom, J. T. Torres Palenzuela, L. Vilas Gonzalez, C. Cárdenas, M. Frangópulos, X. Aguilar Vega, J. Iriarte, A. Tyler","doi":"10.1109/lagirs48042.2020.9165653","DOIUrl":"https://doi.org/10.1109/lagirs48042.2020.9165653","url":null,"abstract":"Surface waters are a fundamental resource. They fulfil key function in global biogeochemical cycles and are core to our water, food and energy security. The rapidly increasing rate of data collection from different Earth observation (EO) missions suitable for observing water bodies has promoted satellite remote sensing (RS) as a more widely recognised source of information on a number of indicators of water quality and ecosystem condition at local and global scales. In parallel, advances in optical sensors support new and more detailed characterisation of the Earth surface and could lead to innovative EO-based products. Nonetheless, RS of water colour of inland and coastal systems, especially in larger scales and over long-term time series, faces unique challenges. This study provides an overview of the challenges and solutions of developing a global observation platform, including the diverse and complex optical properties of inland waters and guided algorithm selection procedure required to deliver reliable data. The development and validation of a global satellite data processing chain (Calimnos) has been supported by access to an extensive in situ data from more than thirty partners around the world that are now held in the LIMNADES community-owned database. This approach has resulted in a step-change in our ability to produce regional and global water quality products for optically complex waters. Local examples of the data outputs will be explored and the opportunities in how these data can be embedded within local and national monitoring schemes to facilitate better management of water will be discussed.","PeriodicalId":111863,"journal":{"name":"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127113470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/LAGIRS48042.2020.9165645
C. S. Marinho, V. Sacramento, M. R. Cangiano, R. E. Cicerelli, T. Almeida
The delimitation of sampling points is an important step to avoid unnecessary costs in water collection process and laboratory analysis. Based on the accumulated reflectance of PlanetScope imagens, it was possible to verify areas of greater spectral variability related to the presence of Optically Active Components (OAC). In order to do that, the accumulated reflectance method was used, based on multitemporal images. For that, three PlanetScope Ortho Scene Products were tested: Atmospheric Corrected for Surface Reflectance (SR), Digital Number (DN), and Top of Atmosphere Reflectance (TOA) images. SR and DN products had similar outcome, while DN product was not ideal for the purpose of this article. Even though SR and DN products were able to delimitate sampling points, they may have radiometric issues, mainly because of their near infrared values.
{"title":"Accumulated Reflectance Technique for Sampling Delimitation in the Riacho Fundo Creek, Lago Paranoá-Df, From Planetscope Images","authors":"C. S. Marinho, V. Sacramento, M. R. Cangiano, R. E. Cicerelli, T. Almeida","doi":"10.1109/LAGIRS48042.2020.9165645","DOIUrl":"https://doi.org/10.1109/LAGIRS48042.2020.9165645","url":null,"abstract":"The delimitation of sampling points is an important step to avoid unnecessary costs in water collection process and laboratory analysis. Based on the accumulated reflectance of PlanetScope imagens, it was possible to verify areas of greater spectral variability related to the presence of Optically Active Components (OAC). In order to do that, the accumulated reflectance method was used, based on multitemporal images. For that, three PlanetScope Ortho Scene Products were tested: Atmospheric Corrected for Surface Reflectance (SR), Digital Number (DN), and Top of Atmosphere Reflectance (TOA) images. SR and DN products had similar outcome, while DN product was not ideal for the purpose of this article. Even though SR and DN products were able to delimitate sampling points, they may have radiometric issues, mainly because of their near infrared values.","PeriodicalId":111863,"journal":{"name":"2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS)","volume":"325 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122753870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：