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Estimation of soil salinity using satellite-based variables and machine learning methods
W Wang, J Sun - Earth Science Informatics, 2024 - Springer
Soil salinity is one of the significant environmental issues that can reduce crop growth and
productivity, ultimately leading to land degradation. Therefore, accurate monitoring and …
productivity, ultimately leading to land degradation. Therefore, accurate monitoring and …
A longitudinal analysis of soil salinity changes using remotely sensed imageries
Soil salinization threatens agricultural productivity, leading to desertification and land
degradation. Given the challenges of conducting labor-intensive and expensive field studies …
degradation. Given the challenges of conducting labor-intensive and expensive field studies …
Complementarity of Sentinel-1 and Sentinel-2 data for soil salinity monitoring to support sustainable agriculture practices in the Central Bolivian Altiplano
Soil salinization will affect 50% of global cropland areas by 2050 and represents a major
threat to agricultural production and food sovereignty. As soil salinity monitoring is costly and …
threat to agricultural production and food sovereignty. As soil salinity monitoring is costly and …
[HTML][HTML] Towards the Improvement of Soil Salinity Map** in a Data-Scarce Context Using Sentinel-2 Images in Machine-Learning Models
JW Sirpa-Poma, F Satgé, E Resongles, R Pillco-Zolá… - Sensors, 2023 - mdpi.com
Several recent studies have evidenced the relevance of machine-learning for soil salinity
map** using Sentinel-2 reflectance as input data and field soil salinity measurement (ie …
map** using Sentinel-2 reflectance as input data and field soil salinity measurement (ie …
[HTML][HTML] Impacts of the Urmia Lake drought on soil salinity and degradation risk: An Integrated Geoinformatics Analysis and Monitoring Approach
B Feizizadeh, D Omarzadeh… - Remote Sensing, 2022 - mdpi.com
Recent improvements in earth observation technologies and Geographical Information
System (GIS) based spatial analysis methods require us to examine the efficiency of the …
System (GIS) based spatial analysis methods require us to examine the efficiency of the …
Identification of salt-affected soils using remote sensing data through random forest technique: a case study from India
Approximately 6.74 million hectares of area is reported to be under salt-affected soils in
India. The accurate identification and monitoring of the extent of these salt-affected soils are …
India. The accurate identification and monitoring of the extent of these salt-affected soils are …
Feature Selection and Regression Models for Multisource Data-Based Soil Salinity Prediction: A Case Study of Minqin Oasis in Arid China
S Zhang, J Zhao, J Yang, J **_in_Indo-Gangetic_plain_employing_machine-learning_techniques/links/66190a1939e7641c0bae3af4/Temporal-remote-sensing-based-soil-salinity-map**-in-Indo-Gangetic-plain-employing-machine-learning-techniques.pdf" data-clk="hl=uk&sa=T&oi=gga&ct=gga&cd=8&d=7776347170739796424&ei=fPG-Z4-SL5-_6rQP4PKGiAc" data-clk-atid="yDkPCo0i62sJ" target="_blank">[PDF] researchgate.net
Temporal remote sensing based soil salinity map** in Indo-Gangetic plain employing machine-learning techniques
Soil salinization is one of the most active land degradation processes, affecting
predominantly arid, semi-arid, and dry sub-humid regions and leading to decreased …
predominantly arid, semi-arid, and dry sub-humid regions and leading to decreased …
Automated delineation of salt-affected lands and their progress in coastal India using Google Earth Engine and machine learning techniques
S Kabiraj, M Jayanthi, M Samynathan… - Environmental Monitoring …, 2023 - Springer
Assessment of salt-affected land (SAL) is still a major challenging task worldwide, especially
in develo** nations. The advancement of remotely sensed digital satellite images of …
in develo** nations. The advancement of remotely sensed digital satellite images of …