[HTML][HTML] Need and vision for global medium-resolution Landsat and Sentinel-2 data products

VC Radeloff, DP Roy, MA Wulder, M Anderson… - Remote Sensing of …, 2024 - Elsevier
Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …

Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products

MO Román, C Justice, I Paynter, PB Boucher… - Remote Sensing of …, 2024 - Elsevier
This paper provides a review and summary status of the research underway by the NASA
Terra Aqua Suomi-NPP Land Discipline Team to provide continuity of global land data …

Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model

H Ma, S Liang - Remote Sensing of Environment, 2022 - Elsevier
Leaf area index (LAI) is a terrestrial essential climate variable that is required in a variety of
ecosystem and climate models. The Global LAnd Surface Satellite (GLASS) LAI product has …

[HTML][HTML] Map** the presence and distribution of tree species in Canada's forested ecosystems

T Hermosilla, A Bastyr, NC Coops, JC White… - Remote Sensing of …, 2022 - Elsevier
Abstract Knowledge of tree species is required to inform management, planning, and
monitoring of forests as well as to characterize habitat and ecosystem function. Remotely …

[HTML][HTML] Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States

LA Brown, R Fernandes, N Djamai, C Meier… - ISPRS Journal of …, 2021 - Elsevier
Abstract The Sentinel-2 Level 2 Prototype Processor (SL2P) is made available to users for
the retrieval of vegetation biophysical variables including leaf area index (LAI) from …

[HTML][HTML] UAV multispectral images for accurate estimation of the maize LAI considering the effect of soil background

S Liu, X **, Y Bai, W Wu, N Cui, M Cheng, Y Liu… - International Journal of …, 2023 - Elsevier
The high proportion of soil background pixels in UAV remote sensing images is an important
reason for the uncertainty of high-precision leaf area index (LAI) estimation at early growth …

HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs

LA Brown, H Morris, S Leblanc, G Bai… - Methods in Ecology …, 2023 - Wiley Online Library
Digital hemispherical photography (DHP) is widely used to derive forest biophysical
variables including leaf, plant, and green area index (LAI, PAI and GAI), the fraction of …

Evaluation of satellite Leaf Area Index in California vineyards for improving water use estimation

Y Kang, F Gao, M Anderson, W Kustas, H Nieto… - Irrigation Science, 2022 - Springer
Remote sensing estimation of evapotranspiration (ET) directly quantifies plant water
consumption and provides essential information for irrigation scheduling, which is a …

A data-driven approach to estimate leaf area index for Landsat images over the contiguous US

Y Kang, M Ozdogan, F Gao, MC Anderson… - Remote Sensing of …, 2021 - Elsevier
Abstract Leaf Area Index (LAI) is a fundamental vegetation biophysical variable serving as
an essential input to many land surface and atmospheric models. Long-term LAI maps are …

[HTML][HTML] Validation of Simplified Level 2 Prototype Processor Sentinel-2 fraction of canopy cover, fraction of absorbed photosynthetically active radiation and leaf area …

R Fernandes, L Brown, F Canisius, J Dash, L He… - Remote Sensing of …, 2023 - Elsevier
Canopy biophysical variables such as the fraction of canopy cover (fCOVER), fraction of
absorbed photosynthetically active radiation (fAPAR), and leaf area index (LAI) are widely …