Pub Date : 2023-11-29DOI: 10.11648/j.ajrs.20231102.13
Reem Yaqoub Yousif Ahmed Abdalla, Aseela Al Moalla, Mohamed Ateeg, Marwa Hossny, Shaher Bano Mirza, F. Ridouane
{"title":"Effect of Anthropogenic Activities on the Presence of Nitrogen Dioxide (NO<sub>2</sub>) Through Remote Sensing and Ground Based Observations over Emirate of Fujairah, UAE","authors":"Reem Yaqoub Yousif Ahmed Abdalla, Aseela Al Moalla, Mohamed Ateeg, Marwa Hossny, Shaher Bano Mirza, F. Ridouane","doi":"10.11648/j.ajrs.20231102.13","DOIUrl":"https://doi.org/10.11648/j.ajrs.20231102.13","url":null,"abstract":"","PeriodicalId":417484,"journal":{"name":"American Journal of Remote Sensing","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139213317","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}
: Extracting information of mangroves at different tide levels from remote sensing images is challenging. In this study, we investigated the use of multiple features for mangrove information extraction, including spectral features, vegetation indices (NDVI, NIMI)
{"title":"Mangrove Information Extraction and Precision Analysis Based on Multi-Feature Combination","authors":"Mingli Zhou, Angying Xu, Chengming Yang, Lifeng Liang","doi":"10.11648/j.ajrs.20231102.12","DOIUrl":"https://doi.org/10.11648/j.ajrs.20231102.12","url":null,"abstract":": Extracting information of mangroves at different tide levels from remote sensing images is challenging. In this study, we investigated the use of multiple features for mangrove information extraction, including spectral features, vegetation indices (NDVI, NIMI)","PeriodicalId":417484,"journal":{"name":"American Journal of Remote Sensing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124207407","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 : 2023-07-17DOI: 10.11648/j.ajrs.20231102.11
Manar Ahmed Mohammed Alblooshi, Sirajul Huda Kalathingal, Shaher Bano Mirza, Fouad Lamghari Ridouane
{"title":"Assessment and Classification of Cloud Coverage Using K-Means Clustering Algorithm for the Sentinel-3 LST Data: A Case Study in the Fujairah Region","authors":"Manar Ahmed Mohammed Alblooshi, Sirajul Huda Kalathingal, Shaher Bano Mirza, Fouad Lamghari Ridouane","doi":"10.11648/j.ajrs.20231102.11","DOIUrl":"https://doi.org/10.11648/j.ajrs.20231102.11","url":null,"abstract":"","PeriodicalId":417484,"journal":{"name":"American Journal of Remote Sensing","volume":"405 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116111280","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 : 2023-03-09DOI: 10.11648/j.ajrs.20231101.12
Meriem Zammel, Najla Allani
: In the past years, architectural heritage was represented and described through 2D plans, sections, perspective drawings, pictures, and texts. But, in the last decades, with the development of digital tools such as 3D scanner laser and photogrammetry, new technologies have been introduced in the digital survey of architectural heritage and 3D modelling. In this regard, we noticed that students, architects
{"title":"A Pedagogical Approach Using Digitalization and Heritage Building Information Modelling (HBIM) for a New Practice in Architecture and Archaeology","authors":"Meriem Zammel, Najla Allani","doi":"10.11648/j.ajrs.20231101.12","DOIUrl":"https://doi.org/10.11648/j.ajrs.20231101.12","url":null,"abstract":": In the past years, architectural heritage was represented and described through 2D plans, sections, perspective drawings, pictures, and texts. But, in the last decades, with the development of digital tools such as 3D scanner laser and photogrammetry, new technologies have been introduced in the digital survey of architectural heritage and 3D modelling. In this regard, we noticed that students, architects","PeriodicalId":417484,"journal":{"name":"American Journal of Remote Sensing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128061309","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 : 2023-01-10DOI: 10.11648/j.ajrs.20221002.12
Winfred Mbinya Manetu, John Momanyi Mironga, Jackob Haywood Ondiko
{"title":"Remote Sensing for Land Resources: A Review on Satellites, Data Availability and Applications","authors":"Winfred Mbinya Manetu, John Momanyi Mironga, Jackob Haywood Ondiko","doi":"10.11648/j.ajrs.20221002.12","DOIUrl":"https://doi.org/10.11648/j.ajrs.20221002.12","url":null,"abstract":"","PeriodicalId":417484,"journal":{"name":"American Journal of Remote Sensing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125356633","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 : 2021-08-05DOI: 10.11648/J.AJRS.20210902.11
Gayatri Dwivedi, Pragati Singh, A. Singh, R. Upadhyay
Floods are an intense and frequent disaster happening in numerous portions of the world. Flood is a excess of water that submerges surroundings that is normally dry. It is the sever problem in Ganga Sub Basin - Ghaghra Confluence to Gomti Confluence of Uttar Pradesh. Near real time mapping of inundated areas is very important for figuring out the flood extent, deployment of emergency reaction teams, and evaluation of damages and casualties. In this thesis work, a real time flood mapping and monitoring online WEB based application using Sentinel-1 time-series data has been developed on Google Earth Engine (GEE) platform. The SAR Data has Capability to see through the cloud and during the flood the major problem with optical data is, it can not see through the cloud. In this thesis work the SAR data has been used to identify the inundated pixels before and during flood to identify the extent and calamities due to flood. Flood is a hazardous natural phenomenon which severely affect lives, goods and services. Monitoring of flood affected area becomes compulsory for emergency responses but due to damage of network and risk for lives in going such areas it becomes a very typical task. Google Earth Engine (GEE) is an open-source cloud based online platform which reduces this problem. In this thesis work the GEE platform has been used for Near-Real time flood mapping in the study area. The GEE based app “FLOOD MONITORING SYSTEM: GANGA SUB BASIN – GHAGHRA CONFLUENCE TO GOMTI CONFLUENCE” has been developed for Near-Real time flood Mapping.
{"title":"Google Earth Engine Based Approach for Assessment and Management of Flood in Ganga Sub Basin – Ghaghra Confluence to Gomti Confluence","authors":"Gayatri Dwivedi, Pragati Singh, A. Singh, R. Upadhyay","doi":"10.11648/J.AJRS.20210902.11","DOIUrl":"https://doi.org/10.11648/J.AJRS.20210902.11","url":null,"abstract":"Floods are an intense and frequent disaster happening in numerous portions of the world. Flood is a excess of water that submerges surroundings that is normally dry. It is the sever problem in Ganga Sub Basin - Ghaghra Confluence to Gomti Confluence of Uttar Pradesh. Near real time mapping of inundated areas is very important for figuring out the flood extent, deployment of emergency reaction teams, and evaluation of damages and casualties. In this thesis work, a real time flood mapping and monitoring online WEB based application using Sentinel-1 time-series data has been developed on Google Earth Engine (GEE) platform. The SAR Data has Capability to see through the cloud and during the flood the major problem with optical data is, it can not see through the cloud. In this thesis work the SAR data has been used to identify the inundated pixels before and during flood to identify the extent and calamities due to flood. Flood is a hazardous natural phenomenon which severely affect lives, goods and services. Monitoring of flood affected area becomes compulsory for emergency responses but due to damage of network and risk for lives in going such areas it becomes a very typical task. Google Earth Engine (GEE) is an open-source cloud based online platform which reduces this problem. In this thesis work the GEE platform has been used for Near-Real time flood mapping in the study area. The GEE based app “FLOOD MONITORING SYSTEM: GANGA SUB BASIN – GHAGHRA CONFLUENCE TO GOMTI CONFLUENCE” has been developed for Near-Real time flood Mapping.","PeriodicalId":417484,"journal":{"name":"American Journal of Remote Sensing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125269697","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 : 2021-05-08DOI: 10.11648/J.AJRS.20210901.17
Tankie Quinta Shegwe, Wirsiy Destain Yungsi, Sirri Erika Suh, Tchana Christian Brice, Aloysious Kohtem Lebga, Takem Mbi Bienvenu Magloire, C. Ngouanet
Man has greatly influenced the environment through his different activities, technology and dynamism. These modifications are land use/land cover changes. This research describes and analyses the implication of land use dynamics on resources in the Sabga-Bamunka area over time and space from 1980 to 2020. Remote sensing techniques and Geographic Information System were used in describing and analysing land use/cover changes in the Sabga-Bamunka area. Primary data was obtained through field observation in order to confirm observation on satellite imageries. Land use maps were produced using GIS software. Maps were generated to show changes in land use/land cover which were transposed into table and bar graphs to show the magnitude of changes. The analysis of static land use maps of 1980, 2010 and 2020 all showed that there are significant changes observed on forest cover, farmland, grazing land and settlement area. The findings revealed that the study area has experienced a drastic change in land use/land cover during the last forty years. The study area is characterised with decrease in grassland areas, forest and increase in settlement and farmland due to the increasing population which are the main triggering force of land use/land cover changes that has led to the reduction in vegetal cover. Forest decreased from 6 568 hectares (26%) in 1980 to 2 842 hectares (10%) in 2020 indicating a magnitude change of -3726 (-29%) and grass land decreased from 16 434 hectares (64%) in 1980 to 14 585 hectares (53%) in 2020 that is a magnitude change of -1849 (-14%). These decreases gave way to settlements and farmland. Therefore, a reduction in the excessive consumption of fuel wood, the practice of eco-forestry, raising of awareness and a dialogue plate-form are amongst the measures recommended to reduce land use/land cover change in the study area.
{"title":"Land Use / Land Cover Change in the Western Highlands of Cameroon: Case of the Sabga-Bamunka Area (1980-2020)","authors":"Tankie Quinta Shegwe, Wirsiy Destain Yungsi, Sirri Erika Suh, Tchana Christian Brice, Aloysious Kohtem Lebga, Takem Mbi Bienvenu Magloire, C. Ngouanet","doi":"10.11648/J.AJRS.20210901.17","DOIUrl":"https://doi.org/10.11648/J.AJRS.20210901.17","url":null,"abstract":"Man has greatly influenced the environment through his different activities, technology and dynamism. These modifications are land use/land cover changes. This research describes and analyses the implication of land use dynamics on resources in the Sabga-Bamunka area over time and space from 1980 to 2020. Remote sensing techniques and Geographic Information System were used in describing and analysing land use/cover changes in the Sabga-Bamunka area. Primary data was obtained through field observation in order to confirm observation on satellite imageries. Land use maps were produced using GIS software. Maps were generated to show changes in land use/land cover which were transposed into table and bar graphs to show the magnitude of changes. The analysis of static land use maps of 1980, 2010 and 2020 all showed that there are significant changes observed on forest cover, farmland, grazing land and settlement area. The findings revealed that the study area has experienced a drastic change in land use/land cover during the last forty years. The study area is characterised with decrease in grassland areas, forest and increase in settlement and farmland due to the increasing population which are the main triggering force of land use/land cover changes that has led to the reduction in vegetal cover. Forest decreased from 6 568 hectares (26%) in 1980 to 2 842 hectares (10%) in 2020 indicating a magnitude change of -3726 (-29%) and grass land decreased from 16 434 hectares (64%) in 1980 to 14 585 hectares (53%) in 2020 that is a magnitude change of -1849 (-14%). These decreases gave way to settlements and farmland. Therefore, a reduction in the excessive consumption of fuel wood, the practice of eco-forestry, raising of awareness and a dialogue plate-form are amongst the measures recommended to reduce land use/land cover change in the study area.","PeriodicalId":417484,"journal":{"name":"American Journal of Remote Sensing","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134274651","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 : 2021-04-26DOI: 10.11648/J.AJRS.20210901.16
R. Ndiaye, Bouna Ndiaye, V. Traoré, A. Diaw
This study aims to understand factors that are causing the malfunction of the garbage collection system in the municipality of Ngor. To achieve this goal, we have adopted a methodological approach that focuses essentially on three components: (i) the investigation of 1/4 of Ngor's concessions through observation, interviews, questionnaires and documentation for collect socio-economic data; (ii) GPS surveys and mapping of the study area using GIS techniques and tools based on satellite images; (iii) analysis of collected information based on descriptive statistics. The results obtained reveal a bad garbage collection, which is at the origin of the insalubrities, the development of flies, mosquitoes and rodents having repercussions on the frame of life of the populations. It is also at the origin of the narrow streets, thus making access to neighborhoods difficult; this leads people to dispose of garbage in the open air or on the beach and in the evacuation channels, to the detriment of environmental concerns. This study has clearly highlighted deficiencies of human nature in the system of collection of household garbage in the municipality of Ngor. These results should provide the municipal authorities with a basis for thinking about the reformulation of their system of governance of such garbage and their political will to definitively solve the problem.
{"title":"Household Solid Waste, a Challenge of Urban Sanitation: Case of Ngor Municipality (Dakar, Senegal)","authors":"R. Ndiaye, Bouna Ndiaye, V. Traoré, A. Diaw","doi":"10.11648/J.AJRS.20210901.16","DOIUrl":"https://doi.org/10.11648/J.AJRS.20210901.16","url":null,"abstract":"This study aims to understand factors that are causing the malfunction of the garbage collection system in the municipality of Ngor. To achieve this goal, we have adopted a methodological approach that focuses essentially on three components: (i) the investigation of 1/4 of Ngor's concessions through observation, interviews, questionnaires and documentation for collect socio-economic data; (ii) GPS surveys and mapping of the study area using GIS techniques and tools based on satellite images; (iii) analysis of collected information based on descriptive statistics. The results obtained reveal a bad garbage collection, which is at the origin of the insalubrities, the development of flies, mosquitoes and rodents having repercussions on the frame of life of the populations. It is also at the origin of the narrow streets, thus making access to neighborhoods difficult; this leads people to dispose of garbage in the open air or on the beach and in the evacuation channels, to the detriment of environmental concerns. This study has clearly highlighted deficiencies of human nature in the system of collection of household garbage in the municipality of Ngor. These results should provide the municipal authorities with a basis for thinking about the reformulation of their system of governance of such garbage and their political will to definitively solve the problem.","PeriodicalId":417484,"journal":{"name":"American Journal of Remote Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130043416","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 : 2021-04-01DOI: 10.11648/J.AJRS.20210901.15
Pragati Singh, A. Singh, R. Upadhyay
Upgrading water use in agricultural crops requires advancements in location of crop water stress for irrigation scheduling, at different phases of the developing season to limit crop physiological harm and yield reduction. Potential of satellite data provide spatial and temporal dynamics of crop growth condition under water stress and analyse for suggestion of irrigation. This study is based on real time open-source web-based Google Earth Engine (GEE) approach for irrigation scheduling at field level based on its water stress condition. Sentinel-2 data was used for detecting water stress using the NDVI and NDWI indices. NDVI shows the crop growth and health whereas NDWI its water stress condition, by combining both the indices we have generated a new index, which is Crop Water Stress Index (CWSI) to schedule the irrigation. The real time Sentinel-2 data was used extract NDVI and NDWI indices and by combining both the indices a new indice was generated for detecting crop water stress condition to schedule the irrigation in real time. The output comes in five group of water stress condition as; No Stress, Low stress, Moderate stress, High stress and Severe stress. Using the result of CWSI the immediate irrigation should be given to those fields which are facing severe and high stress, delayed in moderate and low stress and no irrigation in no-stress. The overall study indicates that, GEE provide a real time better platform for analysing Crop Water Stress situation for scheduling proper irrigation practices for proper growth of crops to improve the production and income of farmers as well as It helps the irrigation planner for proper management of canals and other irrigation resources to the wastage of water.
{"title":"A Web Based Google Earth Engine Approach for Irrigation Scheduling in Uttar Pradesh India Using Crop Water Stress Index","authors":"Pragati Singh, A. Singh, R. Upadhyay","doi":"10.11648/J.AJRS.20210901.15","DOIUrl":"https://doi.org/10.11648/J.AJRS.20210901.15","url":null,"abstract":"Upgrading water use in agricultural crops requires advancements in location of crop water stress for irrigation scheduling, at different phases of the developing season to limit crop physiological harm and yield reduction. Potential of satellite data provide spatial and temporal dynamics of crop growth condition under water stress and analyse for suggestion of irrigation. This study is based on real time open-source web-based Google Earth Engine (GEE) approach for irrigation scheduling at field level based on its water stress condition. Sentinel-2 data was used for detecting water stress using the NDVI and NDWI indices. NDVI shows the crop growth and health whereas NDWI its water stress condition, by combining both the indices we have generated a new index, which is Crop Water Stress Index (CWSI) to schedule the irrigation. The real time Sentinel-2 data was used extract NDVI and NDWI indices and by combining both the indices a new indice was generated for detecting crop water stress condition to schedule the irrigation in real time. The output comes in five group of water stress condition as; No Stress, Low stress, Moderate stress, High stress and Severe stress. Using the result of CWSI the immediate irrigation should be given to those fields which are facing severe and high stress, delayed in moderate and low stress and no irrigation in no-stress. The overall study indicates that, GEE provide a real time better platform for analysing Crop Water Stress situation for scheduling proper irrigation practices for proper growth of crops to improve the production and income of farmers as well as It helps the irrigation planner for proper management of canals and other irrigation resources to the wastage of water.","PeriodicalId":417484,"journal":{"name":"American Journal of Remote Sensing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126786235","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 : 2021-03-26DOI: 10.11648/J.AJRS.20210901.14
J. A. Maghah, Reeves M. Fokeng
Globally, forest reserves are created with a premier objective to conserve important biodiversity and to ensure ecosystems services provision. Unfortunately, forest reserves in the global south are threatened by the tremendous rise in human numbers and the unsustainable exploitation of forest resources. This is the problem facing protected areas (PAs), including forest reserves in Cameroon. The Bafut-Ngemba Forest Reserve (BNFR) is just a case in point of the many transformed and ecological twisted forest reserves in the Western Highlands of Cameroon. The BNFR is no biodiversity paradise as the humanisation of the reserve has taken an unprecedented toll in recent times. The study updated forest cover changes within the reserve from previous studies spanning across 2010-2021 as a baseline data towards the effective design of sustainable forest conservation planning. Satellite remote sensing employing high resolution ASTER (15m) and real-time Google Earth images were used to assess the forest cover dynamics. Between 2010 and 2015, forest loss was mild, either -27.135ha. From 2015-2021, in just less than 6 years, 696.397ha of forest cover was lost. For the entire study period (2010-2021), at total of 723.532ha of forest is estimated to have been lost. Forest loss in the BNFR is linked to some four anthropogenic stressors; farmland encroachment, eucalyptus colonisation, wood harvesting and cattle grazing alongside inter-annual fires used for pasture regeneration and rangeland management. Conservation efforts are urgently needed should the remaining threatened biodiversity, mostly avifauna is to be protected in line with monitoring progress to global targets and SDG 15.1.1.
{"title":"The Degradation of the Bafut-Ngemba Forest Reserve Revisited: A Spatio-temporal Analysis of Forest Cover Change Dynamics","authors":"J. A. Maghah, Reeves M. Fokeng","doi":"10.11648/J.AJRS.20210901.14","DOIUrl":"https://doi.org/10.11648/J.AJRS.20210901.14","url":null,"abstract":"Globally, forest reserves are created with a premier objective to conserve important biodiversity and to ensure ecosystems services provision. Unfortunately, forest reserves in the global south are threatened by the tremendous rise in human numbers and the unsustainable exploitation of forest resources. This is the problem facing protected areas (PAs), including forest reserves in Cameroon. The Bafut-Ngemba Forest Reserve (BNFR) is just a case in point of the many transformed and ecological twisted forest reserves in the Western Highlands of Cameroon. The BNFR is no biodiversity paradise as the humanisation of the reserve has taken an unprecedented toll in recent times. The study updated forest cover changes within the reserve from previous studies spanning across 2010-2021 as a baseline data towards the effective design of sustainable forest conservation planning. Satellite remote sensing employing high resolution ASTER (15m) and real-time Google Earth images were used to assess the forest cover dynamics. Between 2010 and 2015, forest loss was mild, either -27.135ha. From 2015-2021, in just less than 6 years, 696.397ha of forest cover was lost. For the entire study period (2010-2021), at total of 723.532ha of forest is estimated to have been lost. Forest loss in the BNFR is linked to some four anthropogenic stressors; farmland encroachment, eucalyptus colonisation, wood harvesting and cattle grazing alongside inter-annual fires used for pasture regeneration and rangeland management. Conservation efforts are urgently needed should the remaining threatened biodiversity, mostly avifauna is to be protected in line with monitoring progress to global targets and SDG 15.1.1.","PeriodicalId":417484,"journal":{"name":"American Journal of Remote Sensing","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122711304","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}
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