Pub Date : 2022-10-31DOI: 10.58825/jog.2022.16.2.44
P. K. Garg
Drones are Unmanned Aerial Vehicles (UAVs) that do not carry a human operator, fly remotely or autonomously, and carry lethal or non-lethal payloads. Advances in fabrication, navigation, remote control capabilities, and power storage systems have made possible the development of a wide range of drones. The most popular ones are fixed-wing and multirotor drones. They have several advantages and disadvantages and can be deployed quickly to obtain very high resolution imagery/point cloud data. With sophisticated computer vision, robotics and data, and low cost digital cameras, it is possible to get centimeter-level resolution and accuracy. Advances in technology have made the increased uses of drones for various applications. The uses of UAVs/drones are increasing allowing 2D and 3D maps to be created and used for creation of 3D maps and digital elevation models (DEMs). This paper describes in details about the two broad categories of UAVs; fixed-wing and multirotor UAVs. Their salient characteristics along with advantages and disadvantages are also given. It also provides insights to the users for selection of right kind of UAV.
{"title":"Characterisation of Fixed-Wing Versus Multirotors UAVs/Drones","authors":"P. K. Garg","doi":"10.58825/jog.2022.16.2.44","DOIUrl":"https://doi.org/10.58825/jog.2022.16.2.44","url":null,"abstract":"Drones are Unmanned Aerial Vehicles (UAVs) that do not carry a human operator, fly remotely or autonomously, and carry lethal or non-lethal payloads. Advances in fabrication, navigation, remote control capabilities, and power storage systems have made possible the development of a wide range of drones. The most popular ones are fixed-wing and multirotor drones. They have several advantages and disadvantages and can be deployed quickly to obtain very high resolution imagery/point cloud data. With sophisticated computer vision, robotics and data, and low cost digital cameras, it is possible to get centimeter-level resolution and accuracy. Advances in technology have made the increased uses of drones for various applications. The uses of UAVs/drones are increasing allowing 2D and 3D maps to be created and used for creation of 3D maps and digital elevation models (DEMs). This paper describes in details about the two broad categories of UAVs; fixed-wing and multirotor UAVs. Their salient characteristics along with advantages and disadvantages are also given. It also provides insights to the users for selection of right kind of UAV.","PeriodicalId":53688,"journal":{"name":"测绘地理信息","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49119594","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 : 2022-10-31DOI: 10.58825/jog.2022.16.2.37
Mayank Sharma, Raghavendra Sara, S. Agrawal
The integration of computer vision algorithms and photogrammetric techniques has become an alternative to the high-cost Mobile Mapping Systems (MMS) and point cloud generation through Structure from Motion (SfM) algorithm is the best example of it. The point cloud generated using SfM is an arbitrary coordinate system and for its georeferencing known global coordinates of the camera exposure stations, rotational and translational parameters are required. The global coordinates of exposure stations are obtained through GNSS (Global Navigation Satellite System). GPS (Global Positioning System) is widely used for getting the positional information of a point. The problem in georeferencing the point cloud arises if the coordinates of a few camera exposure stations are unknown due to GPS shadowing or poor GDOP (Geometric Dilution of Precision). This issue is common in MMS that use laser scanners, GNSS and IMU (inertial measurement unit). In this paper, efforts are made to develop a methodology for handling GPS shadowing or poor accuracy for the georeferencing of arbitrary point clouds generated through SfM. The adopted method uses a blend of photogrammetric techniques of space resection and space intersection to determine the unknown camera exposure stations' coordinates. Bundle adjustment is applied to improve the accuracy of the results obtained. The developed methodology is well analyzed in different cases, and the results show good accuracy in respective cases.
{"title":"framework to Georeference Point Cloud in GPS Shadowed Urban Environment by Integrating Computer Vision Algorithms and Photogrammetric Techniques","authors":"Mayank Sharma, Raghavendra Sara, S. Agrawal","doi":"10.58825/jog.2022.16.2.37","DOIUrl":"https://doi.org/10.58825/jog.2022.16.2.37","url":null,"abstract":"The integration of computer vision algorithms and photogrammetric techniques has become an alternative to the high-cost Mobile Mapping Systems (MMS) and point cloud generation through Structure from Motion (SfM) algorithm is the best example of it. The point cloud generated using SfM is an arbitrary coordinate system and for its georeferencing known global coordinates of the camera exposure stations, rotational and translational parameters are required. The global coordinates of exposure stations are obtained through GNSS (Global Navigation Satellite System). GPS (Global Positioning System) is widely used for getting the positional information of a point. The problem in georeferencing the point cloud arises if the coordinates of a few camera exposure stations are unknown due to GPS shadowing or poor GDOP (Geometric Dilution of Precision). This issue is common in MMS that use laser scanners, GNSS and IMU (inertial measurement unit). In this paper, efforts are made to develop a methodology for handling GPS shadowing or poor accuracy for the georeferencing of arbitrary point clouds generated through SfM. The adopted method uses a blend of photogrammetric techniques of space resection and space intersection to determine the unknown camera exposure stations' coordinates. Bundle adjustment is applied to improve the accuracy of the results obtained. The developed methodology is well analyzed in different cases, and the results show good accuracy in respective cases.","PeriodicalId":53688,"journal":{"name":"测绘地理信息","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48911489","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 : 2022-10-31DOI: 10.58825/jog.2022.16.2.52
Lakhan Jain, Bindu Bhatt
Changing trends captivate millions of analytical minds. It grabs much when the impact on human lives and properties is involved. The utmost concern is changing weather patterns, which led to a worse impact on the amount and distribution of the precipitation. Essentially, the challenge in several nations is to reach the whole population with adequate water per day. Even a country like India, which has thousands of rivers, streams, lakes, ponds, etc. unable to reach the whole population, as it depends on the uneven event, the Monsoon for its >80% annual rain during monsoon months (June-September). The Nation’s westernmost district, Kutch, which holds the title for the largest area-wise district in India, has been bearing from changing trends in rainfall for a long time. The rainfall distribution within the district is uneven and has experienced contrasting extreme events like drought and flood within consecutive years. The present study attempts to analyse the Spatio-temporal rainfall pattern for 58 years from 1961 to 2018 for the Kutch district using the IMD4 long-term daily gridded (High Spatial Resolution, 0.25° x 0.25°) rainfall dataset. In addition, the Mann-Kendall (MK) test and Sen’s slope method were performed to detect the trends and the magnitude of change over the studied period, respectively. The results indicate high rainfall variability during monsoon months in the north and northwest, while relatively moderate and low in the south and west parts of the district, respectively, and show an upward trend in monsoon rainfall at a 5% significance level in all the Taluka of the Kutch district.
{"title":"A spatio-temporal analysis of changing trends in rainfall patter: A case study of Kutch District","authors":"Lakhan Jain, Bindu Bhatt","doi":"10.58825/jog.2022.16.2.52","DOIUrl":"https://doi.org/10.58825/jog.2022.16.2.52","url":null,"abstract":"Changing trends captivate millions of analytical minds. It grabs much when the impact on human lives and properties is involved. The utmost concern is changing weather patterns, which led to a worse impact on the amount and distribution of the precipitation. Essentially, the challenge in several nations is to reach the whole population with adequate water per day. Even a country like India, which has thousands of rivers, streams, lakes, ponds, etc. unable to reach the whole population, as it depends on the uneven event, the Monsoon for its >80% annual rain during monsoon months (June-September). The Nation’s westernmost district, Kutch, which holds the title for the largest area-wise district in India, has been bearing from changing trends in rainfall for a long time. The rainfall distribution within the district is uneven and has experienced contrasting extreme events like drought and flood within consecutive years. The present study attempts to analyse the Spatio-temporal rainfall pattern for 58 years from 1961 to 2018 for the Kutch district using the IMD4 long-term daily gridded (High Spatial Resolution, 0.25° x 0.25°) rainfall dataset. In addition, the Mann-Kendall (MK) test and Sen’s slope method were performed to detect the trends and the magnitude of change over the studied period, respectively. The results indicate high rainfall variability during monsoon months in the north and northwest, while relatively moderate and low in the south and west parts of the district, respectively, and show an upward trend in monsoon rainfall at a 5% significance level in all the Taluka of the Kutch district.","PeriodicalId":53688,"journal":{"name":"测绘地理信息","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48925429","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 : 2022-10-31DOI: 10.58825/jog.2022.16.2.53
Parul Singh, S. Ravindranath, V. A, K. Raj
Urban vegetation is a crucial ecosystem component that keeps the environment in check. The existence of a well-distributed vegetation cover helps to ensure the city's long-term sustainability and aesthetic appeal. Rapid urban expansion has direct and indirect effects on vegetation growth and its distribution. This paper studied the vegetation cover dynamics using remotely sensed Landsat series datasets in the National Capital Territory (NCT) of Delhi. The study examined the vegetation change over 28 years and observed a reduction of about 15% due to rapid urbanization. This work studied the prominent Green Spaces (GS) in NCT- Delhi and highlighted their significance. The study also investigated the district-wise change in the vegetation cover. The vegetation mapping of the region can be utilized as a tool for integrated spatial planning to address urban challenges like air pollution, reducing the effects of urban heat islands, and public health improvement.
{"title":"Understanding the Vegetation Dynamics of NCT- Delhi Using Remote Sensing","authors":"Parul Singh, S. Ravindranath, V. A, K. Raj","doi":"10.58825/jog.2022.16.2.53","DOIUrl":"https://doi.org/10.58825/jog.2022.16.2.53","url":null,"abstract":"Urban vegetation is a crucial ecosystem component that keeps the environment in check. The existence of a well-distributed vegetation cover helps to ensure the city's long-term sustainability and aesthetic appeal. Rapid urban expansion has direct and indirect effects on vegetation growth and its distribution. This paper studied the vegetation cover dynamics using remotely sensed Landsat series datasets in the National Capital Territory (NCT) of Delhi. The study examined the vegetation change over 28 years and observed a reduction of about 15% due to rapid urbanization. This work studied the prominent Green Spaces (GS) in NCT- Delhi and highlighted their significance. The study also investigated the district-wise change in the vegetation cover. The vegetation mapping of the region can be utilized as a tool for integrated spatial planning to address urban challenges like air pollution, reducing the effects of urban heat islands, and public health improvement.","PeriodicalId":53688,"journal":{"name":"测绘地理信息","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48198483","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 : 2022-10-31DOI: 10.58825/jog.2022.16.2.45
Steena Stephen, D. Haldar, N. Patel
Mango farming is an important part of the Indian agriculture economy. Mapping of mango orchards is essential for monitoring mango plantations as well as its yield assessment. Object-based Image Analysis (OBIA) is a powerful image classification method which uses spatial and spectral information for image classification. This study assesses the impact of three vegetation indices; NDVI (Normalised Difference Vegetation Index), ReNDVI (Red Edge Normalised Difference Vegetation Index) and LSWI(Land Surface Water Index) on the accuracy of classification using object-based image analysis using Sentinel - 2 data. A temporal profile was generated to select the best possible dates for classification based on the maximum and minimum values of the index. LSWI gave the highest overall accuracy of the classification (89%) followed by ReNDVI (87%) and NDVI (86%).The study found that LSWI and ReNDVI have the potential for better mapping of Mango orchards and can be explored further to generate accurate Mango orchard maps.
{"title":"Impact of various Vegetation Indices on Mango orchard mapping using Object-Based Image Analysis","authors":"Steena Stephen, D. Haldar, N. Patel","doi":"10.58825/jog.2022.16.2.45","DOIUrl":"https://doi.org/10.58825/jog.2022.16.2.45","url":null,"abstract":"Mango farming is an important part of the Indian agriculture economy. Mapping of mango orchards is essential for monitoring mango plantations as well as its yield assessment. Object-based Image Analysis (OBIA) is a powerful image classification method which uses spatial and spectral information for image classification. This study assesses the impact of three vegetation indices; NDVI (Normalised Difference Vegetation Index), ReNDVI (Red Edge Normalised Difference Vegetation Index) and LSWI(Land Surface Water Index) on the accuracy of classification using object-based image analysis using Sentinel - 2 data. A temporal profile was generated to select the best possible dates for classification based on the maximum and minimum values of the index. LSWI gave the highest overall accuracy of the classification (89%) followed by ReNDVI (87%) and NDVI (86%).The study found that LSWI and ReNDVI have the potential for better mapping of Mango orchards and can be explored further to generate accurate Mango orchard maps.","PeriodicalId":53688,"journal":{"name":"测绘地理信息","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47473874","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}
Prevalence of malaria in certain parts of the world without adequate planning and monitoring based on ill- informed decisions has wreaked havoc on the health system and economy of many developing nations. The purpose of this study is to create a functional Spatial Decision Support System (SDSS) for malaria monitoring in parts of Zaria, Kaduna State. A Geographic Information Systems (GIS) SDSS was created using ArcGIS 10.5 software for the 2019 Malaria data obtained from the Ministry of Health, Kaduna State Roll Back Malaria (RBM) Programme for collation and analysis across 13 political wards in Zaria Local Government Area (LGA) of Kaduna State. The results revealed that a total of 443,852 cases of malaria were reported across the 13 political wards of the study area. The reported cases had predominant occurrences at the Gyellesu ward, followed by the Kwarbai A ward. The spatial incidence was displayed via vector control maps, malaria burden maps, malaria prevalence in Zaria maps, and service area maps. The map of demography indicated a higher prevalence of malaria of 73.35% for the male gender compared to the female (26.65%). However, the independent t-test revealed no significant difference between males' and females' malaria prevalence. It was also revealed that the adult population had the highest malaria prevalence followed by children less than 5 years while pregnant women were the least infected. The study further indicated that 38.5% of the existing political wards recorded a shortfall of at least two (2) healthcare facilities. This study identified areas that required the establishment of health facilities to offset the existing shortfall. The SDSS was able to effectively monitor and appraise malaria incidence for proper surveillance and management that will be required for malaria prevention and elimination activities. The study recommends that policymakers invest in the deployment of an SDSS for better and robust planning, monitoring and execution of their malaria intervention programmes as this aligns with the sustainable development goal (SDG) target 3.
{"title":"Appraising Malaria Incidence with Spatial-Oriented Decision Support System in Parts of Zaria, Kaduna State-Nigeria","authors":"Azua, S, Youngu, T.T., Aliyu, Y.A.,, Komolafe, E.A., Ahmadu, A.A, Abubakar A.Z, Q. O. Majekodunmi","doi":"10.58825/jog.2022.16.2.36","DOIUrl":"https://doi.org/10.58825/jog.2022.16.2.36","url":null,"abstract":"Prevalence of malaria in certain parts of the world without adequate planning and monitoring based on ill- informed decisions has wreaked havoc on the health system and economy of many developing nations. The purpose of this study is to create a functional Spatial Decision Support System (SDSS) for malaria monitoring in parts of Zaria, Kaduna State. A Geographic Information Systems (GIS) SDSS was created using ArcGIS 10.5 software for the 2019 Malaria data obtained from the Ministry of Health, Kaduna State Roll Back Malaria (RBM) Programme for collation and analysis across 13 political wards in Zaria Local Government Area (LGA) of Kaduna State. The results revealed that a total of 443,852 cases of malaria were reported across the 13 political wards of the study area. The reported cases had predominant occurrences at the Gyellesu ward, followed by the Kwarbai A ward. The spatial incidence was displayed via vector control maps, malaria burden maps, malaria prevalence in Zaria maps, and service area maps. The map of demography indicated a higher prevalence of malaria of 73.35% for the male gender compared to the female (26.65%). However, the independent t-test revealed no significant difference between males' and females' malaria prevalence. It was also revealed that the adult population had the highest malaria prevalence followed by children less than 5 years while pregnant women were the least infected. The study further indicated that 38.5% of the existing political wards recorded a shortfall of at least two (2) healthcare facilities. This study identified areas that required the establishment of health facilities to offset the existing shortfall. The SDSS was able to effectively monitor and appraise malaria incidence for proper surveillance and management that will be required for malaria prevention and elimination activities. The study recommends that policymakers invest in the deployment of an SDSS for better and robust planning, monitoring and execution of their malaria intervention programmes as this aligns with the sustainable development goal (SDG) target 3.","PeriodicalId":53688,"journal":{"name":"测绘地理信息","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45964940","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 : 2022-10-31DOI: 10.58825/jog.2022.16.2.48
Gaurav Kumar Pal, M. B. Rajani
Hyderabad and Golconda are prominent medieval cities in Deccan India, claiming significant roles in shaping the transformation of the region in the 20th and 21st centuries. This study focuses on defining the contours of Hyderabad’s walled settlement, a fortified structure built around Hyderabad city, the capital of Hyderabad State after the fall of Golconda in 1687. The capital shift to Hyderabad occurred gradually even with the construction of Char Minar in 1591. The city became an important factor to understand the growth of Hyderabad in the Nizam and British eras. The core of the study is based on how different maps of the walled city dating from the 18thc. to 20th c. describe a picture of change in the settlement arena of Hyderabad. These maps signify the areas of development, which can be conjectured in presentday Google Earth. It also compares different maps to bring about the information on built features in the city and georeference them in today’s setting so as to understand the spatial change in the arrangement of the city. The findings of the current work are used to conduct a detailed field survey to check and document remains that still exist and also the condition they are in at present. The study focuses on the sustainable development of a burgeoning urban sprawl of Hyderabad considering the cultural heritage of the area
{"title":"A geospatial study of the layout and extent of the eighteenth-century walled city of Hyderabad","authors":"Gaurav Kumar Pal, M. B. Rajani","doi":"10.58825/jog.2022.16.2.48","DOIUrl":"https://doi.org/10.58825/jog.2022.16.2.48","url":null,"abstract":"Hyderabad and Golconda are prominent medieval cities in Deccan India, claiming significant roles in shaping the transformation of the region in the 20th and 21st centuries. This study focuses on defining the contours of Hyderabad’s walled settlement, a fortified structure built around Hyderabad city, the capital of Hyderabad State after the fall of Golconda in 1687. The capital shift to Hyderabad occurred gradually even with the construction of Char Minar in 1591. The city became an important factor to understand the growth of Hyderabad in the Nizam and British eras. The core of the study is based on how different maps of the walled city dating from the 18thc. to 20th c. describe a picture of change in the settlement arena of Hyderabad. These maps signify the areas of development, which can be conjectured in presentday Google Earth. It also compares different maps to bring about the information on built features in the city and georeference them in today’s setting so as to understand the spatial change in the arrangement of the city. The findings of the current work are used to conduct a detailed field survey to check and document remains that still exist and also the condition they are in at present. The study focuses on the sustainable development of a burgeoning urban sprawl of Hyderabad considering the cultural heritage of the area","PeriodicalId":53688,"journal":{"name":"测绘地理信息","volume":"42 7-8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41303237","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 : 2022-10-31DOI: 10.58825/jog.2022.16.2.51
Nilesh S. Patil, V. Patil, S. Patil, Bhavesh D. Patil, Arvind B Suryawanshi, Kavita Jadhav
In India, the agricultural land has tremendously disintegrated which changed the land-use patterns. The agricultural land has declined continuously due to rapid urbanization in the country. In India, nearly 45% of the land cover comes under agriculture area, and 22% is under forest land, whereas this land was drastically decreasing day by day. The main aim of the study is to identify the urban growth along with the land use pattern of Chalisgaon city, situated in the Jalgaon district, of Maharashtra state. This is a comparative study from early 1990 to late 2020. The Landsat images have been used for the years 1990, 2000, 2010, and 2020 to identify the change in land use and land cover pattern. These images are processed and analyzed under GIS and maximum likelihood classification method. The Chalisgaon city covers a total of 1850 hectares area. In the last three decades, the total built-up area has increased from 556 hectares to 920 hectares. It is observed that, the urban expansion of the city is a major factor behind the declination the cultivational land area under study. In 1990 the agriculture area was about 1095 hectares that have been reduced to730 hectares in 2020. This study reveals the agricultural land gradually decreased due to encroachment of urban areas i.e., infrastructural, connectivity, population, and other related facilities.
{"title":"Analysis of Urban Growth and Its Impact on Agriculture Land around the Chalisgaon City in Jalgaon District of Maharashtra, India: A Remote Sensing and GIS Based Approach","authors":"Nilesh S. Patil, V. Patil, S. Patil, Bhavesh D. Patil, Arvind B Suryawanshi, Kavita Jadhav","doi":"10.58825/jog.2022.16.2.51","DOIUrl":"https://doi.org/10.58825/jog.2022.16.2.51","url":null,"abstract":"In India, the agricultural land has tremendously disintegrated which changed the land-use patterns. The agricultural land has declined continuously due to rapid urbanization in the country. In India, nearly 45% of the land cover comes under agriculture area, and 22% is under forest land, whereas this land was drastically decreasing day by day. The main aim of the study is to identify the urban growth along with the land use pattern of Chalisgaon city, situated in the Jalgaon district, of Maharashtra state. This is a comparative study from early 1990 to late 2020. The Landsat images have been used for the years 1990, 2000, 2010, and 2020 to identify the change in land use and land cover pattern. These images are processed and analyzed under GIS and maximum likelihood classification method. The Chalisgaon city covers a total of 1850 hectares area. In the last three decades, the total built-up area has increased from 556 hectares to 920 hectares. It is observed that, the urban expansion of the city is a major factor behind the declination the cultivational land area under study. In 1990 the agriculture area was about 1095 hectares that have been reduced to730 hectares in 2020. This study reveals the agricultural land gradually decreased due to encroachment of urban areas i.e., infrastructural, connectivity, population, and other related facilities.","PeriodicalId":53688,"journal":{"name":"测绘地理信息","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42282307","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 : 2022-10-31DOI: 10.58825/jog.2022.16.2.43
Abhinav Mehta, Shital H. Shukla, Shrey Rakholia
Due to the negative consequences of climate change, the fragmentation of forest areas worldwide as a result of increased anthropogenic pressure has become a source of concern. The objective of this research study was to evaluate forest fragmentation analysis around the Greater Gir Landscape, Gujarat. The Fragmentation assessment was performed based on Land-use & Land-cover (LULC) analysis using the Landsat 8 OLI images of 2015 and 2019 as primary datasets for the study. Geographic Information System (GIS) techniques were employed for LULC mapping with seven classes showing increment in the agriculture and vegetation patches with the year 2019 in compare to year 2015 due to accumulative rainfall pattern. The Spatial Metric was performed with the use of FRAGSTATS software, where Landscape Metrics were quantified using Class level, Landscape level and Moving Window Analysis. The trend observed in all the metrics calculated indicates increasing of continuity in Greater Gir Landscape. The forest has not undergone severe degradation but a rise in the natural classes like agriculture, vegetation patches, and waterbodies has led to increase in the level of continuity which is leading to conversion of these land patches in homogeneity of the areas using geospatial techniques. These spatial metrics using FRAGSTATS helps in simplifying quantification of the complex spatial processes and can be used for generating a positive framework for forest conservation.
{"title":"Assessment of forest fragmentation in greater Gir landscape area, Gujarat using geospatial techniques","authors":"Abhinav Mehta, Shital H. Shukla, Shrey Rakholia","doi":"10.58825/jog.2022.16.2.43","DOIUrl":"https://doi.org/10.58825/jog.2022.16.2.43","url":null,"abstract":"Due to the negative consequences of climate change, the fragmentation of forest areas worldwide as a result of increased anthropogenic pressure has become a source of concern. The objective of this research study was to evaluate forest fragmentation analysis around the Greater Gir Landscape, Gujarat. The Fragmentation assessment was performed based on Land-use & Land-cover (LULC) analysis using the Landsat 8 OLI images of 2015 and 2019 as primary datasets for the study. Geographic Information System (GIS) techniques were employed for LULC mapping with seven classes showing increment in the agriculture and vegetation patches with the year 2019 in compare to year 2015 due to accumulative rainfall pattern. The Spatial Metric was performed with the use of FRAGSTATS software, where Landscape Metrics were quantified using Class level, Landscape level and Moving Window Analysis. The trend observed in all the metrics calculated indicates increasing of continuity in Greater Gir Landscape. The forest has not undergone severe degradation but a rise in the natural classes like agriculture, vegetation patches, and waterbodies has led to increase in the level of continuity which is leading to conversion of these land patches in homogeneity of the areas using geospatial techniques. These spatial metrics using FRAGSTATS helps in simplifying quantification of the complex spatial processes and can be used for generating a positive framework for forest conservation.","PeriodicalId":53688,"journal":{"name":"测绘地理信息","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45165981","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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