Some insights on grassland health assessment based on remote sensing

D Xu, X Guo - Sensors, 2015 - mdpi.com
Grassland ecosystem is one of the largest ecosystems, which naturally occurs on all
continents excluding Antarctica and provides both ecological and economic functions. The …

Spectral sensing from ground to space in soil science: state of the art, applications, potential, and perspectives

JAM Demattê, CLS Morgan, S Chabrillat… - Remote Sensing …, 2016 - api.taylorfrancis.com
Industrial and agricultural activities are develo** faster than the public policy on the use of
soil resources. The world needs more information about soil for land use planning and …

Map** soil organic carbon content using multi-source remote sensing variables in the Heihe River Basin in China

T Zhou, Y Geng, J Chen, M Liu, D Haase, A Lausch - Ecological Indicators, 2020 - Elsevier
Soil organic carbon (SOC) has a large impact on soil quality and global climate change. It is
therefore important to be able to predict SOC accurately to promote sustainable soil …

Digital soil map** using remote sensing indices, terrain attributes, and vegetation features in the rangelands of northeastern Iran

E Mahmoudabadi, A Karimi, GH Haghnia… - Environmental monitoring …, 2017 - Springer
Digital soil map** has been introduced as a viable alternative to the traditional map**
methods due to being fast and cost-effective. The objective of the present study was to …

Hyper-temporal remote sensing for digital soil map**: Characterizing soil-vegetation response to climatic variability

JJ Maynard, MR Levi - Geoderma, 2017 - Elsevier
Indices derived from remotely-sensed imagery are commonly used to predict soil properties
with digital soil map** (DSM) techniques. The use of images from single dates or a small …

Map** soil profile depth, bulk density and carbon stock in Scotland using remote sensing and spatial covariates

M Aitkenhead, M Coull - European Journal of Soil Science, 2020 - Wiley Online Library
The spatial distribution of soil organic carbon is an important factor in land management
decision making, climate change mitigation and landscape planning. In Scotland, where …

Map** topsoil pH using different predictive models and covariate sets in Henan Province, Central China

L Zhang, Z Wu, X Sun, J Yan, Y Sun, J Chen - Ecological Informatics, 2023 - Elsevier
Spatial prediction and map** of soil properties are synergistically influenced by models
and environmental covariates. However, selecting the best modeling technique for a given …

Coastal wetland ecosystems deliver large carbon stocks in tropical Mexico

S Sjögersten, B De La Barreda-Bautista, C Brown… - Geoderma, 2021 - Elsevier
Tropical wetlands are important in the global carbon (C) cycle and climate system. To
elaborate government policies that protect wetland ecosystem services, spatially explicit …

Analysis of terrain attributes in different spatial resolutions for digital soil map** application in southeastern Brazil

NC Sena, GV Veloso, EI Fernandes-Filho… - Geoderma …, 2020 - Elsevier
Terrain attributes are used as auxiliary variables in spatial prediction of soil classes and
properties, due to their important role in the pedogenetic process and the increasing …

[LIBRO][B] Remote Sensing Handbook-Three Volume Set

P Thenkabail - 2018 - books.google.com
A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water
Resources, Disasters, and Urban Studies documents the scientific and methodological …