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Land use and land cover change monitoring and prediction of a UNESCO world heritage site: Kaziranga eco-sensitive zone using cellular automata-Markov model
The Kaziranga Eco-Sensitive Zone is located on the edge of the Eastern Himalayan
biodiversity hotspot region. In 1985, the Kaziranga National Park (KNP) was declared a …
biodiversity hotspot region. In 1985, the Kaziranga National Park (KNP) was declared a …
Assessing land use/land cover changes and urban heat island intensification: A case study of Kamrup Metropolitan District, Northeast India (2000–2032)
Amid global concerns regarding climate change and urbanization, understanding the
interplay between land use/land cover (LULC) changes, the urban heat island (UHI) effect …
interplay between land use/land cover (LULC) changes, the urban heat island (UHI) effect …
[HTML][HTML] Detecting, analyzing, and Predicting Land Use/Land Cover (LULC) changes in arid regions using landsat images, CA-Markov Hybrid Model, and GIS …
Understanding the change dynamics of land use and land cover (LULC) is critical for
efficient ecological management modification and sustainable land-use planning. This work …
efficient ecological management modification and sustainable land-use planning. This work …
[HTML][HTML] Geostatistical modeling approach for studying total soil nitrogen and phosphorus under various land uses of North-Western Himalayas
The distribution of total soil nitrogen (TSN) and total soil phosphorus (TSP) plays a pivotal
role in sha** soil quality, fertility, agricultural practices, and environmental balance …
role in sha** soil quality, fertility, agricultural practices, and environmental balance …
Multi-spectral remote sensing and GIS-based analysis for decadal land use land cover changes and future prediction using random forest tree and artificial neural …
The integration of multi-spectral remote sensing and GIS-based analysis is significant for
studying land cover changes, providing valuable insights for informed land management …
studying land cover changes, providing valuable insights for informed land management …
[HTML][HTML] Predicting future land use utilizing economic and land surface parameters with ANN and Markov chain models
The main aim of this study is to comprehensively analyze the dynamics of land use and land
cover (LULC) changes in the Bathinda region of Punjab, India, encompassing historical …
cover (LULC) changes in the Bathinda region of Punjab, India, encompassing historical …
[HTML][HTML] Unlocking the potential of soil potassium: geostatistical approaches for understanding spatial variations in Northwestern Himalayas
This study delves into the heterogeneity of total soil potassium (TSK) in the Northwestern
Himalayas (NWH) region by employing standard and geostatistical methods on surface soils …
Himalayas (NWH) region by employing standard and geostatistical methods on surface soils …
Mathematical vs. machine learning models for particle size distribution in fragile soils of North-Western Himalayas
Purpose Particle size distribution (PSD) assessment, which affects all physical, chemical,
biological, mineralogical, and geological properties of soil, is crucial for maintaining soil …
biological, mineralogical, and geological properties of soil, is crucial for maintaining soil …
CA-Markov chain for simulation and prediction of LULC and assessing the status of water pollution in Manzala Lake after recent development
The Egyptian government recently undertook a large-scale national dredging project to
improve the properties and productivity of the northern lakes. Manzala Lake has a distinctive …
improve the properties and productivity of the northern lakes. Manzala Lake has a distinctive …
Use of intensity analysis and transfer matrix to characterize land conversion in the Aral Sea Basin under changing climate
An effective approach to identifying the size and intensity of land transitions is vital for land
use and management decisions. This study used a transfer matrix and intensity analysis to …
use and management decisions. This study used a transfer matrix and intensity analysis to …