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 …

[HTML][HTML] Assimilation of remote sensing into crop growth models: Current status and perspectives

J Huang, JL Gómez-Dans, H Huang, H Ma… - Agricultural and forest …, 2019 - Elsevier
Timely monitoring of crop lands is important in order to make agricultural activities more
sustainable, as well as ensuring food security. The use of Earth Observation (EO) data …

Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach

LS Pereira, P Paredes, N Jovanovic - Agricultural water management, 2020 - Elsevier
This study reviews soil water balance (SWB) model approaches to determine crop irrigation
requirements and scheduling irrigation adopting the FAO56 method. The K c-ET o approach …

Satellite-and drone-based remote sensing of crops and soils for smart farming–a review

Y Inoue - Soil Science and Plant Nutrition, 2020 - Taylor & Francis
Present climate and socioeconomic issues would threaten the global food and
environmental security. Smart farming (SF) based on advances in sensing, robotic, and …

[HTML][HTML] Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction

AVM Ines, NN Das, JW Hansen, EG Njoku - Remote Sensing of …, 2013 - Elsevier
To improve the prediction of crop yields at an aggregate scale, we developed a data
assimilation-crop modeling framework that incorporates remotely sensed soil moisture and …

Monitoring wheat phenology and irrigation in Central Morocco: On the use of relationships between evapotranspiration, crops coefficients, leaf area index and …

B Duchemin, R Hadria, S Erraki, G Boulet… - Agricultural Water …, 2006 - Elsevier
The monitoring of crop production and irrigation at a regional scale can be based on the use
of ecosystem process models and remote sensing data. The former simulate the time …

The cropping systems mosaic: how does the hidden heterogeneity of agricultural landscapes drive arthropod populations?

C Vasseur, A Joannon, S Aviron, F Burel… - Agriculture, ecosystems …, 2013 - Elsevier
Landscape ecology has emphasized the key role of spatial heterogeneity as a driver of
ecological processes, which has led to a shift from a patch-matrix to a landscape mosaic …

Crop model data assimilation with the Ensemble Kalman filter for improving regional crop yield forecasts

AJW De Wit, CA Van Diepen - Agricultural and forest meteorology, 2007 - Elsevier
Uncertainty in spatial and temporal distribution of rainfall in regional crop yield simulations
comprises a major fraction of the error on crop model simulation results. In this paper we …

Earth system science related imaging spectroscopy—An assessment

ME Schaepman, SL Ustin, AJ Plaza, TH Painter… - Remote Sensing of …, 2009 - Elsevier
The science of spectroscopy has existed for more than three centuries, and imaging
spectroscopy for the Earth system for three decades. We first discuss the historical …

Normalized difference spectral indices for estimating photosynthetic efficiency and capacity at a canopy scale derived from hyperspectral and CO2 flux measurements …

Y Inoue, J Peñuelas, A Miyata, M Mano - Remote Sensing of Environment, 2008 - Elsevier
We explored simple and useful spectral indices for estimating photosynthetic variables
(radiation use efficiency and photosynthetic capacity) at a canopy scale based on seasonal …