scholarly journals Assessment of Land Use/Land Cover Changes in Coimbatore North Taluk, Tamil Nadu, India using GIS and Remote Sensing

2018 ◽  
Vol 7 (2) ◽  
pp. 19-21
Author(s):  
M. Ganeshmoorthi
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Tamil Nadu ◽  
Satellite Image ◽  
Geographical Area ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Gis And Remote Sensing ◽  
Detection Analysis ◽  
Erdas Imagine

The main aim of the present study is to assess Land use/land cover changes in Coimbatore North Taluk for the period of 2001 and 2018. The study area is located in Coimbatore district, Tamil Nadu state and geographical area is 479.5 km2. To analyze land use/land cover changes, a temporal satellite images Landsat 7 (2001) Sentinel-2 (2018) was used. Vector data for the study area was extracted from the SOI toposheets and taluk sheets. The above satellite image was classified into four major classes viz. water bodies, croplands, built-up area, and forest using hybrid supervised classification method. ERDAS Imagine 2015 and ArcGIS 10.5 software’s were sued to classify the satellite image and assess the land use/land cover changes for the above periods. The land use/land cover change detection analysis revealed that built up area was increased compared to 2001 and all other classes decreased. Urbanization is the primary cause of the land use and land cover changes for the study area.

scholarly journals Land Use/Land Cover Changes in a Disturbed River Watershed Kenya

2019 ◽  
Vol 3 (2) ◽  
pp. 29
Author(s):  
Zachary Gichuru Mainuri ◽  
John M. Mironga ◽  
Samuel M. Mwonga
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Remote Sensing Image ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Human Needs ◽  
Observation Systems ◽  
Erdas Imagine ◽  
Remote Sensing Image Processing

Drivers of land use change were captured by the use of DPSIR model where Drivers (D) represented human needs, Pressures (P), human activities, State (S), the ecosystem, Impact (I) services from the ecosystem and Response (R), the decisions taken by land users. Land sat MSS and Land sat ETM+ (path 185, row 31) were used in this study. The Land sat ETM+ image (June 1987, May, 2000 and July, 2014) was downloaded from USGS Earth Resources Observation Systems data website. Remote sensing image processing was performed by using ERDAS Imagine 9.1. Two land use/land cover (LULC) classes were established as forest and shrub land. Severe land cover changes was found to have occurred from 1987-2000, where shrub land reduced by -19%, and forestry reduced by -72%. In 2000 – 2014 shrub land reduced by-45%, and forestry reduced by -64%. Forestry and shrub land were found to be consistently reducing.

scholarly journals Use of GIS and Remote Sensing Data to Understand the Impacts of Land Use/Land Cover Changes (LULCC) on Snow Leopard (Panthera uncia) Habitat in Pakistan

2021 ◽  
Vol 13 (7) ◽  
pp. 3590
Author(s):  
Tauheed Ullah Khan ◽  
Abdul Mannan ◽  
Charlotte E. Hacker ◽  
Shahid Ahmad ◽  
Muhammad Amir Siddique ◽  
...  
Keyword(s):  
Remote Sensing ◽  
At Risk ◽  
Land Use ◽  
Land Cover ◽  
Human Population ◽  
Land Cover Changes ◽  
Snow Leopard ◽  
Land Use Land Cover ◽  
Gis And Remote Sensing ◽  
Panthera Uncia

Habitat degradation and species range contraction due to land use/land cover changes (LULCC) is a major threat to global biodiversity. The ever-growing human population has trespassed deep into the natural habitat of many species via the expansion of agricultural lands and infrastructural development. Carnivore species are particularly at risk, as they demand conserved and well-connected habitat with minimum to no anthropogenic disturbance. In Pakistan, the snow leopard (Panthera uncia) is found in three mountain ranges—the Himalayas, Hindukush, and Karakoram. Despite this being one of the harshest environments on the planet, a large population of humans reside here and exploit surrounding natural resources to meet their needs. Keeping in view this exponentially growing population and its potential impacts on at-risk species like the snow leopard, we used geographic information systems (GIS) and remote sensing with the aim of identifying and quantifying LULCC across snow leopard range in Pakistan for the years 2000, 2010, and 2020. A massive expansion of 1804.13 km2 (163%) was observed in the built-up area during the study period. Similarly, an increase of 3177.74 km2 (153%) was observed in agricultural land. Barren mountain land increased by 12,368.39 km2 (28%) while forest land decreased by 2478.43 km2 (28%) and area with snow cover decreased by 14,799.83 km2 (52%). Drivers of these large-scale changes are likely the expanding human population and climate change. The overall quality and quantity of snow leopard habitat in Pakistan has drastically changed in the last 20 years and could be compromised. Swift and direct conservation actions to monitor LULCC are recommended to reduce any associated negative impacts on species preservation efforts. In the future, a series of extensive field surveys and studies should be carried out to monitor key drivers of LULCC across the observed area.

scholarly journals A comparison and classification of land use land cover to estimate their effect on environment: case study in Baghdad city

2021 ◽  
Vol 2114 (1) ◽  
pp. 012017
Author(s):  
Bushra A. Ahmed ◽  
Ghaida S. Hadi
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Image ◽  
Major Change ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Two Cities ◽  
Landsat Satellite

Abstract This study compared and classified of land use and land cover changes by using Remote Sensing (RS) and Geographic Information Systems (GIS) on two cities (Al-Saydiya city and Al-Hurriya) in Baghdad province, capital of Iraq. In this study, Landsat satellite image for 2020 were used for (Land Use/Land Cover) classification. The change in the size of the surface area of each class in the Al-Saydiya city and Al-Hurriya cities was also calculated to estimate their effect on environment. The major change identified, in the study, was in agricultural area in Al-Saydiya city compare with Al-Hurriya city in Baghdad province. The results of the research showed that the percentage of the green area from the total area in Al-Saydiya city is 34.95%, while in Al-Hurriya is 27.53%. Therefore, available results of land use and land cover changes can provide critical input to decision-making of environmental management and planning the future.

Detection of land use-land cover changes in Anzali Wetland using a remote sensing-based approach

2021 ◽  
Author(s):  
Amirmoez Jamaat ◽  
Ammar Safaie
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Caspian Sea ◽  
Satellite Image ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Anzali Wetland ◽  
High Resolution Satellite Images

<p>Wetlands are valuable ecological resources which play an essential and important role in the ecosystem of the region. Hence, there is a crucial need for monitoring and characterization of wetland changes caused by natural and anthropogenic disturbance. In this study, we developed a remote sensing-based approach to investigate long term land use/land cover changes (LULC) of Anzali Lagoon located in the southern coast of the Caspian Sea. In recent years, Anzali Wetland has experienced severe threats by human- and climate-induced changes and is drying up at an alarming rate. Here, an enhanced LULC change detection method is presented using a seasonal harmonic analysis of satellite image based on Normalized Difference Vegetation Index (NDVI)   that combined with remotely-sensed thermal observations. Machine learning and object-oriented approaches were implemented on high-resolution satellite images to obtain a comprehensive land-use classification map of the study area. Then, wetland vegetation changes, such as marshes, were investigated during 2013 to 2020. Additionally, the long-term sea level trend in Caspian Sea was used, along with groundwater storage changes derived by GRACE satellite data, to study their impacts on wetland ecological changes. Results of the developed hybrid model indicate that the western and central parts of the wetland are more subjected to drought stress. Moreover, spatial and temporal changes in density of aquatic plants related to external stressors were identified in the wetland. The results of this study enhance a better understanding of long-term LULC changes in coastal wetlands in response to climate changes and anthropogenic activities.</p><p> </p><p> </p>

scholarly journals Impact of Human Settlement on Land Use/Land Cover Changes in the Middle River Njoro Sub Watershed in Kenya

2018 ◽  
Vol 3 (4) ◽  
pp. 180
Author(s):  
Zachary Gichuru Mainuri
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Human Settlement ◽  
Human Needs ◽  
Erdas Imagine ◽  
Remote Sensing Image Processing ◽  
Year 2000

This study investigated the use of remote sensing and GIS in evaluating the impacts of human settlement on land use /Land cover changes. The study also investigated the drivers behind the change in the middle of River Njoro sub watershed for a period of 27 years. Drivers of land use change were captured by the use of DPSIR model where Drivers (D) represented human needs, Pressures (P), human activities, State (S), the ecosystem, Impact (I) services from the ecosystem and Response (R), the decisions taken by land users. Land sat MSS and Land sat ETM+ (path 185, row 31) were used in this study. The Land sat ETM+ image (June 1987, May, 2000 and July, 2014) was downloaded from USGS Earth Resources Observation Systems data website. Remote sensing image processing was performed by using ERDAS Imagine 9.1. Three land use/land cover (LULC) classes were established as Human settlement, forest and shrub land. Severe land cover changes was found to have occurred from 1987-2000, where human settlement increased by 52%, shrub land reduced by 19%, and forestry reduced by 72%. In the year 2000 – 2014, human settlement increased by 121%, shrub land reduced by 45%, and forestry reduced by 64%. Forestry and shrub land were found to be consistently reducing while human settlement was increasing. It was evident from the images that the LULC changes with corresponding soil quality deterioration mostly occurred in the upper and middle parts of the Middle river Njoro sub watershed which were initially under forest. To minimize the risk of vegetation destruction and soil degradation, it will be necessary to identify socioeconomic safety nets and initiate restoration of the environment to original pre- catastrophe status.

The impacts of land use/land cover changes on the supply-demand budget of urban ecosystem services

2021 ◽  
Vol 14 (14) ◽  
Author(s):  
Syed Atif Bokhari ◽  
Zafeer Saqib ◽  
Amjad Ali ◽  
Arif Mahmud ◽  
Nadia Akhtar ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Urban Ecosystem ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Urban Ecosystem Services
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