Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Hillslope elements and soil–landscape analysis in Himalayas for characterizing soil quality parameters using digital terrain model and remote-sensing data
by
Murugan, Nandhakumar
, David Raj, Anu
, George Kalambukattu, Justin
, Kumar, Suresh
in
Agriculture
/ Conservation
/ Deforestation
/ Elements
/ Environmental management
/ Geographical information systems
/ Land conservation
/ Land cover
/ Land management
/ Land use
/ Land use management
/ Land use planning
/ Landscape
/ Machine learning
/ Mountainous areas
/ Mountains
/ Organic matter
/ Parameters
/ Remote sensing
/ Shoulder
/ Slopes
/ Soil
/ Soil analysis
/ Soil maps
/ Soil organic matter
/ Soil quality
/ Soils
/ Spatial variability
/ Spatial variations
/ Sustainability management
/ Terrain models
/ Topography
/ Valleys
/ Variability
/ Watersheds
2023
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Hillslope elements and soil–landscape analysis in Himalayas for characterizing soil quality parameters using digital terrain model and remote-sensing data
by
Murugan, Nandhakumar
, David Raj, Anu
, George Kalambukattu, Justin
, Kumar, Suresh
in
Agriculture
/ Conservation
/ Deforestation
/ Elements
/ Environmental management
/ Geographical information systems
/ Land conservation
/ Land cover
/ Land management
/ Land use
/ Land use management
/ Land use planning
/ Landscape
/ Machine learning
/ Mountainous areas
/ Mountains
/ Organic matter
/ Parameters
/ Remote sensing
/ Shoulder
/ Slopes
/ Soil
/ Soil analysis
/ Soil maps
/ Soil organic matter
/ Soil quality
/ Soils
/ Spatial variability
/ Spatial variations
/ Sustainability management
/ Terrain models
/ Topography
/ Valleys
/ Variability
/ Watersheds
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Hillslope elements and soil–landscape analysis in Himalayas for characterizing soil quality parameters using digital terrain model and remote-sensing data
by
Murugan, Nandhakumar
, David Raj, Anu
, George Kalambukattu, Justin
, Kumar, Suresh
in
Agriculture
/ Conservation
/ Deforestation
/ Elements
/ Environmental management
/ Geographical information systems
/ Land conservation
/ Land cover
/ Land management
/ Land use
/ Land use management
/ Land use planning
/ Landscape
/ Machine learning
/ Mountainous areas
/ Mountains
/ Organic matter
/ Parameters
/ Remote sensing
/ Shoulder
/ Slopes
/ Soil
/ Soil analysis
/ Soil maps
/ Soil organic matter
/ Soil quality
/ Soils
/ Spatial variability
/ Spatial variations
/ Sustainability management
/ Terrain models
/ Topography
/ Valleys
/ Variability
/ Watersheds
2023
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Hillslope elements and soil–landscape analysis in Himalayas for characterizing soil quality parameters using digital terrain model and remote-sensing data
Journal Article
Hillslope elements and soil–landscape analysis in Himalayas for characterizing soil quality parameters using digital terrain model and remote-sensing data
2023
Request Book From Autostore
and Choose the Collection Method
Overview
Hillslope elements and land cover types are primarily determining the spatial variability of soils in the hilly and mountainous landscape. Among the soil forming factors, topography strongly influences pedogenic process and governs the variability of soils in hilly and mountainous landscape. This study mainly focusses on characterizing soil quality parameters distribution based on the hillslope elements and soil–landscape units in the watershed. Digital terrain model (DTM)-derived topographic position index was used to delineate various hillslope elements. Land use/land cover map was generated using random forest machine learning technique. Hillslope elements, land use/land cover types and aspects were integrated in GIS environment to generate soil–landscape unit map of the watershed. Soil samples were collected based on various soil–landscape units to characterize soil quality parameters such as total carbon (TC) soil organic matter (SOM), total nitrogen (TN), aggregate stability (SAS) in the watershed. SOM ranged from 1.6% to 10.05% and higher estimated in shoulder (forest) followed by valley (agriculture) and toe slope (forest). TC and TN contents ranged from 0.93% to 5.84% and 0.11% to 0.38%, respectively. The C:N ratio ranged from 7.96% to 18.31% and high value was found in shoulder (forest) followed by valley (agriculture) and toe slope (forest). SAS under different hillslope elements in the area ranged from 0.0.552 to 0.615 indicating large spatial variation of soil quality parameters. The study indicates that in hilly and mountainous landscape, topography and land cover types have major role in determining soil quality. DTM-based soil–landscape units’ delineation can be helpful to study soil quality variability and can be used to generate soil map for the hilly and mountainous watershed. The significance of this study lies in its potential to make substantial contributions to land use planning, sustainable land management and environmental conservation planning in the challenging and ecologically fragile and sensitive Himalayan region.
This website uses cookies to ensure you get the best experience on our website.