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 …

[HTML][HTML] Advances in remote sensing of agriculture: Context description, existing operational monitoring systems and major information needs

C Atzberger - Remote sensing, 2013 - mdpi.com
Many remote sensing applications are devoted to the agricultural sector. Representative
case studies are presented in the special issue “Advances in Remote Sensing of …

[HTML][HTML] Using low resolution satellite imagery for yield prediction and yield anomaly detection

F Rembold, C Atzberger, I Savin, O Rojas - Remote Sensing, 2013 - mdpi.com
Low resolution satellite imagery has been extensively used for crop monitoring and yield
forecasting for over 30 years and plays an important role in a growing number of operational …

Monitoring regional drought using the vegetation condition index

WT Liu, FN Kogan - International Journal of Remote Sensing, 1996 - Taylor & Francis
Abstract NDVI (Normalized Difference Vegetation Index) images generated from NOAA
AVHRR GVI data were recently used to monitor large scale drought patterns and their …

Spatial and temporal assessment of drought in the Northern highlands of Ethiopia

T Gebrehiwot, A Van der Veen, B Maathuis - International Journal of …, 2011 - Elsevier
With the development of global changes, researchers from all over the world increasingly
pay attention to drought detection, and severe droughts that may have resulted from climate …

A statistical study of NDVI sensitivity to seasonal and interannual rainfall variations in Southern Africa

Y Richard, I Poccard - International Journal of Remote Sensing, 1998 - Taylor & Francis
The relation between rainfall and the Normalized Difference Vegetation Index (NDVI) in
Africa south of 15 S (1983-1988) is studied. For 115 1 by 1 grid-points, the spatial …

A comparative study of NOAA–AVHRR derived drought indices using change vector analysis

Y Bayarjargal, A Karnieli, M Bayasgalan… - Remote Sensing of …, 2006 - Elsevier
The objective of this study was to compare the spatial occurrences of droughts, detected by
remotely sensed drought-indices over the desert-steppe and desert geo-botanical zones of …

Remote sensing of the seasonal variability of vegetation in a semi-arid environment

H Schmidt, A Karnieli - Journal of arid environments, 2000 - Elsevier
This case study assesses the use of satellite data to monitor the vegetation cover in two
types of semi-arid environments—sand dune and rocky—located in the Negev Desert of …

L-band vegetation optical depth seasonal metrics for crop yield assessment

D Chaparro, M Piles, M Vall-Llossera, A Camps… - Remote Sensing of …, 2018 - Elsevier
Attenuation of surface microwave emission due to the overlying vegetation is proportional to
the density of the canopy and to its water content. The vegetation optical depth (VOD) …

The early explanatory power of NDVI in crop yield modelling

L Wall, D Larocque, PM Léger - International Journal of Remote …, 2008 - Taylor & Francis
The objective of this paper is to study, on a weekly basis, the explanatory power of one
satellite‐based measurement, the Normalized Difference Vegetation Index (NDVI), for wheat …