Apple yield prediction map** using machine learning techniques through the Google Earth Engine cloud in Kashmir Valley, India

C Singha, S Gulzar, KC Swain… - Journal of Applied …, 2023 - spiedigitallibrary.org
Our study established a machine learning (ML) model that could predict the apple yield
based on various satellite multisensor data, such as climatological, SAR backscatter, terrain …

[HTML][HTML] Remote Sensing-Assisted Estimation of Water Use in Apple Orchards with Permanent Living Mulch

S Ferreira, JM Sánchez, JM Gonçalves, R Eugénio… - Agronomy, 2025 - mdpi.com
Orchards are complex agricultural systems with various characteristics that influence crop
evapotranspiration (ETc), such as variety, tree height, planting density, irrigation methods …

[HTML][HTML] A selection of experiments for understanding the strengths of time series sar data analysis for finding the drivers causing phenological changes in paphos …

M Miltiadou, V Karathanassi, A Agapiou… - Remote Sensing, 2022 - mdpi.com
Observing phenological changes are important for evaluating the natural regeneration
process of forests, especially in Mediterranean areas where the regeneration of coniferous …

GIS based flood susceptibility map** in the Keleghai river basin, India: a comparative assessment of bivariate statistical models

K Islam - Discover Water, 2024 - Springer
Abstract Flooding in the Keleghai River Basin, India, threatens communities with severe
economic and environmental consequences. This study develops a scalable model to map …

Mountain ecosystems and climate change

H Gupta, R Shaw - Handbook on Climate Change and Disasters, 2022 - elgaronline.com
It is increasingly being recognized that changes in mountain ecosystems not only impact the
nearby downstream regions, but inadvertently impact a larger set of population globally. The …