[HTML][HTML] Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

K Berger, M Machwitz, M Kycko, SC Kefauver… - Remote sensing of …, 2022 - Elsevier
Remote detection and monitoring of the vegetation responses to stress became relevant for
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …

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 …

An overview of global leaf area index (LAI): Methods, products, validation, and applications

H Fang, F Baret, S Plummer… - Reviews of …, 2019 - Wiley Online Library
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

Y Cai, K Guan, D Lobell, AB Potgieter, S Wang… - Agricultural and forest …, 2019 - Elsevier
Wheat is the most important staple crop grown in Australia, and Australia is one of the top
wheat exporting countries globally. Timely and reliable wheat yield prediction in Australia is …

A review of data assimilation of remote sensing and crop models

X **, L Kumar, Z Li, H Feng, X Xu, G Yang… - European journal of …, 2018 - Elsevier
Timely and accurate estimation of crop yield before harvest to allow crop yields
management decision-making at a regional scale is crucial for national food policy and …

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review

J Verrelst, G Camps-Valls, J Muñoz-Marí… - ISPRS Journal of …, 2015 - Elsevier
Forthcoming superspectral satellite missions dedicated to land monitoring, as well as
planned imaging spectrometers, will unleash an unprecedented data stream. The …

Seasonal crop yield forecast: Methods, applications, and accuracies

B Basso, L Liu - Advances in agronomy, 2019 - Elsevier
The perfect knowledge of yield before harvest has been a wish puzzling human being since
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …

A scalable satellite-based crop yield mapper

DB Lobell, D Thau, C Seifert, E Engle, B Little - Remote Sensing of …, 2015 - Elsevier
New advances in satellite data acquisition and processing offer promise for monitoring
agricultural lands globally. Using these data to estimate crop yields for individual fields …

[HTML][HTML] Field-level crop yield estimation with PRISMA and Sentinel-2

M Marshall, M Belgiu, M Boschetti, M Pepe… - ISPRS journal of …, 2022 - Elsevier
Satellite image data deliver consistent and frequent information for crop yield estimation
over large areas. Hyperspectral narrowbands are more sensitive spectrally to changes in …

Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods–A comparison

J Verrelst, JP Rivera, F Veroustraete… - ISPRS Journal of …, 2015 - Elsevier
Given the forthcoming availability of Sentinel-2 (S2) images, this paper provides a
systematic comparison of retrieval accuracy and processing speed of a multitude of …