Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward

N Pettorelli, H Schulte to Bühne… - Remote Sensing in …, 2018 - Wiley Online Library
Societal, economic and scientific interests in knowing where biodiversity is, how it is faring
and what can be done to efficiently mitigate further biodiversity loss and the associated loss …

Forecasting plant and crop disease: an explorative study on current algorithms

G Fenu, FM Malloci - Big Data and Cognitive Computing, 2021 - mdpi.com
Every year, plant diseases cause a significant loss of valuable food crops around the world.
The plant and crop disease management practice implemented in order to mitigate …

Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities

PC Stoy, TS El-Madany, JB Fisher, P Gentine… - …, 2019 - bg.copernicus.org
Evaporation (E) and transpiration (T) respond differently to ongoing changes in climate,
atmospheric composition, and land use. It is difficult to partition ecosystem-scale …

Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling

S Pan, N Pan, H Tian, P Friedlingstein… - Hydrology and Earth …, 2020 - hess.copernicus.org
Evapotranspiration (ET) is critical in linking global water, carbon and energy cycles.
However, direct measurement of global terrestrial ET is not feasible. Here, we first reviewed …

Comparison of satellite and UAV-based multispectral imagery for vineyard variability assessment

A Khaliq, L Comba, A Biglia, D Ricauda Aimonino… - Remote Sensing, 2019 - mdpi.com
In agriculture, remotely sensed data play a crucial role in providing valuable information on
crop and soil status to perform effective management. Several spectral indices have proven …

Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach

D Long, L Yan, L Bai, C Zhang, X Li, H Lei… - Remote Sensing of …, 2020 - Elsevier
Land surface temperature (LST) is among the most important variables in monitoring land
surface processes. LST is often retrieved from thermal infrared remote sensing data, which …

[HTML][HTML] The Evaporative Stress Index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts

MC Anderson, CA Zolin, PC Sentelhas, CR Hain… - Remote Sensing of …, 2016 - Elsevier
To effectively meet growing food demands, the global agronomic community will require a
better understanding of factors that are currently limiting crop yields and where production …

Remote sensing for crop water management: From ET modelling to services for the end users

A Calera, I Campos, A Osann, G D'Urso, M Menenti - Sensors, 2017 - mdpi.com
The experiences gathered during the past 30 years support the operational use of irrigation
scheduling based on frequent multi-spectral image data. Currently, the operational use of …

Validation and quality assessment of the ECOSTRESS level-2 land surface temperature and emissivity product

GC Hulley, FM Göttsche, G Rivera… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station
(ECOSTRESS) was launched to the International Space Station (ISS) on June 29, 2018, and …

Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data

LS Pereira, P Paredes, F Melton, L Johnson… - Agricultural Water …, 2020 - Elsevier
The current study aims at reviewing and providing advances on methods for estimating and
applying crop coefficients from observations of ground cover and vegetation height. The …