[HTML][HTML] Comparison of GIS-based interpolation methods for spatial distribution of soil organic carbon (SOC)

GS Bhunia, PK Shit, R Maiti - Journal of the Saudi Society of Agricultural …, 2018 - Elsevier
The ecological, economical, and agricultural benefits of accurate interpolation of spatial
distribution patterns of soil organic carbon (SOC) are well recognized. In the present study …

Identifying exposure of urban area to certain seismic hazard using machine learning and GIS: A case study of greater Cairo

O Hamdy, H Gaber, MS Abdalzaher, M Elhadidy - Sustainability, 2022 - mdpi.com
The 1992 Cairo earthquake, with a moment magnitude of 5.8, is the most catastrophic
earthquake to shock the Greater Cairo (GC) in recent decades. According to the very limited …

[HTML][HTML] Assessment of spatial variability of soil properties using geostatistical approach of lateritic soil (West Bengal, India)

GS Bhunia, PK Shit, R Chattopadhyay - Annals of Agrarian Science, 2018 - Elsevier
Degradation of soil due to unsuitable land management practices is a chief impairment of
optimum land productivity. The spatial variability of soil properties is needed for agricultural …

Identifying change in spatial accumulation of soil salinity in an inland river watershed, China

Y Wang, C Deng, Y Liu, Z Niu, Y Li - Science of the Total Environment, 2018 - Elsevier
Soil salinity accumulation is strong in arid areas and it has become a serious environmental
problem. Knowledge of the process and spatial changes of accumulated salinity in soil can …

Spatial analysis of soil properties using GIS based geostatistics models

PK Shit, GS Bhunia, R Maiti - Modeling Earth Systems and Environment, 2016 - Springer
Accurate assessment of the spatial variability of soil properties is key component of the
agriculture ecosystem and environment modeling. The main objective of the present study is …

Digital soil map** in the Bara district of Nepal using kriging tool in ArcGIS

D Panday, B Maharjan, D Chalise, RK Shrestha… - PloS one, 2018 - journals.plos.org
Digital soil map** has been widely used to develop statistical models of the relationships
between environmental variables and soil attributes. This study aimed at determining and …

Spatial variability of soil micronutrients in the intensively cultivated Trans-Gangetic Plains of India

AK Shukla, SK Behera, NK Lenka, PK Tiwari… - Soil and Tillage …, 2016 - Elsevier
Soil micronutrient deficiency adversely affects crop production in intensive agriculture.
However, information on the spatial variability of key micronutrients in intensively cultivated …

Characterizing spatial variability of soil properties in alluvial soils of India using geostatistics and geographical information system

SK Reza, DC Nayak, S Mukhopadhyay… - Archives of Agronomy …, 2017 - Taylor & Francis
Alluvial soils constitute significant portion of cultivated land in India and it contributes
towards food grain production predominantly. The objectives of this study were to assess the …

Comparison of IDW, cokriging and ARMA for predicting spatiotemporal variability of soil salinity in a gravel–sand mulched jujube orchard

W Zhao, T Cao, Z Li, J Sheng - Environmental monitoring and assessment, 2019 - Springer
Abstract Information about the spatiotemporal variability of soil salinity is important for
managing salinization in gravel–sand mulched fields. We used inverse distance weighting …

Landslide inventory and susceptibility models considering the landslide typology using deep learning: Himalayas, India

S Bera, VK Upadhyay, B Guru, T Oommen - Natural Hazards, 2021 - Springer
Landslide susceptibility modeling is complex as it involves different types of landslides and
diverse interests of the end-user. Develo** mitigation strategies for the landslides …