Optical vegetation indices for monitoring terrestrial ecosystems globally

Y Zeng, D Hao, A Huete, B Dechant, J Berry… - Nature Reviews Earth & …, 2022 - nature.com
Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …

Remote sensing for agricultural applications: A meta-review

M Weiss, F Jacob, G Duveiller - Remote sensing of environment, 2020 - Elsevier
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …

[PDF][PDF] 中国土地利用变化生态环境效应的空间分异性与形成机理

陈万旭, 李江风, 曾杰, 冉端, 杨斌 - GEOGRAPHICAL RESEARCH, 2019 - sssampling.cn
中国复杂的自然要素, 社会经济要素, 区域发展战略和政策调控形成了当前中国不均衡的经济
发展空间格局, 土地利用空间格局和生态环境质量空间格局. 厘清中国生态环境质量的空间格局 …

Predicting and mapping of soil organic carbon using machine learning algorithms in Northern Iran

M Emadi, R Taghizadeh-Mehrjardi, A Cherati… - Remote Sensing, 2020 - mdpi.com
Estimation of the soil organic carbon (SOC) content is of utmost importance in understanding
the chemical, physical, and biological functions of the soil. This study proposes machine …

Modelling, mapping and monitoring of forest cover changes, using support vector machine, kernel logistic regression and naive bayes tree models with optical remote …

A Tariq, Y Jiango, Q Li, J Gao, L Lu, W Soufan… - Heliyon, 2023 - cell.com
The present study is designed to monitor the spatio-temporal changes in forest cover using
Remote Sensing (RS) and Geographic Information system (GIS) techniques from 1990 to …

Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review

JA Caparros-Santiago, V Rodriguez-Galiano… - ISPRS Journal of …, 2021 - Elsevier
Vegetation phenology is considered an important biological indicator in understanding the
behaviour of ecosystems and how it responds to environmental cues. Changes in vegetation …

A long-term spatiotemporal analysis of vegetation greenness over the Himalayan Region using Google Earth Engine

N Kumari, A Srivastava, UC Dumka - Climate, 2021 - mdpi.com
The Himalayas constitute one of the richest and most diverse ecosystems in the Indian sub-
continent. Vegetation greenness driven by climate in the Himalayan region is often …

Spatio-temporal analysis of vegetation variation in the Yellow River Basin

W Jiang, L Yuan, W Wang, R Cao, Y Zhang, W Shen - Ecological Indicators, 2015 - Elsevier
To understand the variation and patterns of vegetation coverage in the Yellow River Basin,
as well as to promote regional ecological protection and maintain ecological construction …

Using Google Earth Engine to detect land cover change: Singapore as a use case

N Sidhu, E Pebesma, G Câmara - European Journal of Remote …, 2018 - Taylor & Francis
This paper investigates the web-based remote sensing platform, Google Earth Engine (GEE)
and evaluates the platform's utility for performing raster and vector manipulations on …

Mapping vegetation and land use types in Fanjingshan National Nature Reserve using google earth engine

YH Tsai, D Stow, HL Chen, R Lewison, L An, L Shi - Remote Sensing, 2018 - mdpi.com
Fanjingshan National Nature Reserve (FNNR) is a biodiversity hotspot in China that is part
of a larger, multi-use landscape where farming, grazing, tourism, and other human activities …