Combined use of multi-temporal optical and radar satellite images for grassland monitoring

P Dusseux, T Corpetti, L Hubert-Moy, S Corgne - Remote Sensing, 2014 - mdpi.com
The aim of this study was to assess the ability of optical images, SAR (Synthetic Aperture
Radar) images and the combination of both types of data to discriminate between …

Monitoring of grassland productivity using Sentinel-2 remote sensing data

P Dusseux, T Guyet, P Pattier, V Barbier… - International Journal of …, 2022 - Elsevier
Grasslands are a source of goods and ecosystem services. It would therefore be helpful to
monitor grass growth and estimate grass productivity indicators in order to optimize …

Evaluation of SPOT imagery for the estimation of grassland biomass

P Dusseux, L Hubert-Moy, T Corpetti… - International Journal of …, 2015 - Elsevier
In many regions, a decrease in grasslands and change in their management, which are
associated with agricultural intensification, have been observed in the last half-century. Such …

Understanding bison carrying capacity estimation in Northern Great Plains using remote sensing and GIS

T Doan, X Guo - Canadian Journal of Remote Sensing, 2019 - Taylor & Francis
As an iconic species linked to First Nations culture and economy in western North America,
wild plains bison (Bison bison bison) currently rely on intensive management to persist. Yet …

Agricultural practices in grasslands detected by spatial remote sensing

P Dusseux, F Vertès, T Corpetti, S Corgne… - Environmental …, 2014 - Springer
The major decrease in grassland surfaces associated with changes in their management
that has been observed in many regions of the earth during the last half century has major …

The development of near real-time biomass and cover estimates for adaptive rangeland management using Landsat 7 and Landsat 8 surface reflectance products

VS Jansen, CA Kolden, HJ Schmalz - Remote Sensing, 2018 - mdpi.com
Rangelands are critical working landscapes and are the focus of considerable conservation
planning efforts globally. A key conservation challenge in these landscapes is that high …

Non-photosynthetic vegetation biomass estimation in semiarid Canadian mixed grasslands using ground hyperspectral data, Landsat 8 OLI, and Sentinel-2 images

Z Li, X Guo - International Journal of Remote Sensing, 2018 - Taylor & Francis
Research on quantifying non-photosynthetic vegetation (NPV) with optical remote-sensing
approaches has been focusing on optically distinguishing NPV from green vegetation and …

Classification of grassland successional stages using airborne hyperspectral imagery

T Möckel, J Dalmayne, HC Prentice, L Eklundh… - Remote sensing, 2014 - mdpi.com
Plant communities differ in their species composition, and, thus, also in their functional trait
composition, at different stages in the succession from arable fields to grazed grassland. We …

Spectral heterogeneity of QuickBird satellite data is related to fine‐scale plant species spatial turnover in semi‐natural grasslands

K Hall, T Reitalu, MT Sykes… - Applied Vegetation …, 2012 - Wiley Online Library
Question: Can satellite data be related to fine‐scale species diversity and does the
integrated use of field and satellite data provide information that can be used in the …

Mapping drought-induced changes in rice area in India

MK Gumma, A Nelson, T Yamano - International journal of remote …, 2019 - Taylor & Francis
Rice is a staple food crop of India and is grown on 44 Mha (2011–12), 58.6% of which are
irrigated. An inevitable phenomenon which looms over all aspects of human life and affects …