Monitoring crop growth conditions using the global water satisfaction index and remote sensing

G.J.A. Nieuwenhuis; A.J.W. de Wit; D.W.G. van Kraalingen; C.A. van Diepen; H.L. Boogaard

Monitoring crop growth conditions using the global water satisfaction index and remote sensing

G.J.A. Nieuwenhuis, A.J.W. de Wit, D.W.G. van Kraalingen, C.A. van Diepen, H.L. Boogaard

Wageningen Environmental Research

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic

Abstract

Water availability is one of the limiting factors to crop growth in arid and semi-arid zones. Shortages of fresh water become very serious for different regions of the world with important consequences for food security. Early warning systems based on the integrative use of remote sensing observations and crop growth modelling have been developed and implemented for specific regions. The Joint Research Centre, Ispra (Italy) initiated the MARS project (Monitoring Agriculture with Remote Sensing). Nowadays, this system is used operationally to forecast crop yield across Europe. To produce global real-time water balance calculations and outputs a system has been developed called GWSIx (Global Water Satisfaction Index). The GWSI model is based on a simple soil water balance model, which is used to assess the impact of weather conditions on crop growth. The water balance used is known as the FAO Crop Specific Water Balance, CSWB. The system developed delivers actual information on crop growth conditions for the major food crops per country per decade (periods of 10 days) and per 0.1 by 0.1 degree grid cell. It was found that the developed method delivers indications for the occurrence of crop stress. The spatial distribution of available water and crop development at different scales can also be described by applying remote sensing observations. Quantitative information dealing with space-time distribution of water can be obtained through the mapping of crop surface evapotranspiration. However, application of such an approach at global scale is hardly possible. NDVI time series as derived from NOAA AVHRR satellite observations have been used extensively to monitor vegetation development at different scales. To assess agricultural crop growth conditions we used the Global Inventory Modelling and Mapping Studies (GIMMS) dataset of the NASA. It contains bimonthly NDVI data in an 8-km global raster as derived from NOAAA AVHRR satellite observations for the period 1982-2002. Output of the GWSI system has been compared with results obtained through remote sensing. Preliminary results are presented.

Original language	English
Title of host publication	ISPRS Commission VII mid-term symposium 2006 "Remote sensing: from pixels to processes"
Place of Publication	Enschede
Publisher	ITC
Pages	684-687
Publication status	Published - 2006
Event	ISPRS mid-term symposium 2006; Enschede - Duration: 8 May 2006 → 11 May 2006

Conference/symposium

Conference/symposium	ISPRS mid-term symposium 2006; Enschede
Period	8/05/06 → 11/05/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

http://www.itc.nl/isprsc7/symposium2006/proceedings/TS23_4.pdf

Cite this

Nieuwenhuis, G. J. A., de Wit, A. J. W., van Kraalingen, D. W. G., van Diepen, C. A., & Boogaard, H. L. (2006). Monitoring crop growth conditions using the global water satisfaction index and remote sensing. In ISPRS Commission VII mid-term symposium 2006 "Remote sensing: from pixels to processes" (pp. 684-687). ITC. http://www.itc.nl/isprsc7/symposium2006/proceedings/TS23_4.pdf

@inproceedings{549581bce3d740a4b5ac4a4fe8bb8fb8,

title = "Monitoring crop growth conditions using the global water satisfaction index and remote sensing",

abstract = "Water availability is one of the limiting factors to crop growth in arid and semi-arid zones. Shortages of fresh water become very serious for different regions of the world with important consequences for food security. Early warning systems based on the integrative use of remote sensing observations and crop growth modelling have been developed and implemented for specific regions. The Joint Research Centre, Ispra (Italy) initiated the MARS project (Monitoring Agriculture with Remote Sensing). Nowadays, this system is used operationally to forecast crop yield across Europe. To produce global real-time water balance calculations and outputs a system has been developed called GWSIx (Global Water Satisfaction Index). The GWSI model is based on a simple soil water balance model, which is used to assess the impact of weather conditions on crop growth. The water balance used is known as the FAO Crop Specific Water Balance, CSWB. The system developed delivers actual information on crop growth conditions for the major food crops per country per decade (periods of 10 days) and per 0.1 by 0.1 degree grid cell. It was found that the developed method delivers indications for the occurrence of crop stress. The spatial distribution of available water and crop development at different scales can also be described by applying remote sensing observations. Quantitative information dealing with space-time distribution of water can be obtained through the mapping of crop surface evapotranspiration. However, application of such an approach at global scale is hardly possible. NDVI time series as derived from NOAA AVHRR satellite observations have been used extensively to monitor vegetation development at different scales. To assess agricultural crop growth conditions we used the Global Inventory Modelling and Mapping Studies (GIMMS) dataset of the NASA. It contains bimonthly NDVI data in an 8-km global raster as derived from NOAAA AVHRR satellite observations for the period 1982-2002. Output of the GWSI system has been compared with results obtained through remote sensing. Preliminary results are presented.",

author = "G.J.A. Nieuwenhuis and {de Wit}, A.J.W. and {van Kraalingen}, D.W.G. and {van Diepen}, C.A. and H.L. Boogaard",

year = "2006",

language = "English",

pages = "684--687",

booktitle = "ISPRS Commission VII mid-term symposium 2006 {"}Remote sensing: from pixels to processes{"}",

publisher = "ITC",

note = "ISPRS mid-term symposium 2006; Enschede ; Conference date: 08-05-2006 Through 11-05-2006",

}

Nieuwenhuis, GJA, de Wit, AJW , van Kraalingen, DWG, van Diepen, CA & Boogaard, HL 2006, Monitoring crop growth conditions using the global water satisfaction index and remote sensing. in ISPRS Commission VII mid-term symposium 2006 "Remote sensing: from pixels to processes". ITC, Enschede, pp. 684-687, ISPRS mid-term symposium 2006; Enschede, 8/05/06. <http://www.itc.nl/isprsc7/symposium2006/proceedings/TS23_4.pdf>

Monitoring crop growth conditions using the global water satisfaction index and remote sensing. / Nieuwenhuis, G.J.A.; de Wit, A.J.W.; van Kraalingen, D.W.G. et al.
ISPRS Commission VII mid-term symposium 2006 "Remote sensing: from pixels to processes". Enschede: ITC, 2006. p. 684-687.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic

TY - GEN

T1 - Monitoring crop growth conditions using the global water satisfaction index and remote sensing

AU - Nieuwenhuis, G.J.A.

AU - de Wit, A.J.W.

AU - van Kraalingen, D.W.G.

AU - van Diepen, C.A.

AU - Boogaard, H.L.

PY - 2006

Y1 - 2006

N2 - Water availability is one of the limiting factors to crop growth in arid and semi-arid zones. Shortages of fresh water become very serious for different regions of the world with important consequences for food security. Early warning systems based on the integrative use of remote sensing observations and crop growth modelling have been developed and implemented for specific regions. The Joint Research Centre, Ispra (Italy) initiated the MARS project (Monitoring Agriculture with Remote Sensing). Nowadays, this system is used operationally to forecast crop yield across Europe. To produce global real-time water balance calculations and outputs a system has been developed called GWSIx (Global Water Satisfaction Index). The GWSI model is based on a simple soil water balance model, which is used to assess the impact of weather conditions on crop growth. The water balance used is known as the FAO Crop Specific Water Balance, CSWB. The system developed delivers actual information on crop growth conditions for the major food crops per country per decade (periods of 10 days) and per 0.1 by 0.1 degree grid cell. It was found that the developed method delivers indications for the occurrence of crop stress. The spatial distribution of available water and crop development at different scales can also be described by applying remote sensing observations. Quantitative information dealing with space-time distribution of water can be obtained through the mapping of crop surface evapotranspiration. However, application of such an approach at global scale is hardly possible. NDVI time series as derived from NOAA AVHRR satellite observations have been used extensively to monitor vegetation development at different scales. To assess agricultural crop growth conditions we used the Global Inventory Modelling and Mapping Studies (GIMMS) dataset of the NASA. It contains bimonthly NDVI data in an 8-km global raster as derived from NOAAA AVHRR satellite observations for the period 1982-2002. Output of the GWSI system has been compared with results obtained through remote sensing. Preliminary results are presented.

AB - Water availability is one of the limiting factors to crop growth in arid and semi-arid zones. Shortages of fresh water become very serious for different regions of the world with important consequences for food security. Early warning systems based on the integrative use of remote sensing observations and crop growth modelling have been developed and implemented for specific regions. The Joint Research Centre, Ispra (Italy) initiated the MARS project (Monitoring Agriculture with Remote Sensing). Nowadays, this system is used operationally to forecast crop yield across Europe. To produce global real-time water balance calculations and outputs a system has been developed called GWSIx (Global Water Satisfaction Index). The GWSI model is based on a simple soil water balance model, which is used to assess the impact of weather conditions on crop growth. The water balance used is known as the FAO Crop Specific Water Balance, CSWB. The system developed delivers actual information on crop growth conditions for the major food crops per country per decade (periods of 10 days) and per 0.1 by 0.1 degree grid cell. It was found that the developed method delivers indications for the occurrence of crop stress. The spatial distribution of available water and crop development at different scales can also be described by applying remote sensing observations. Quantitative information dealing with space-time distribution of water can be obtained through the mapping of crop surface evapotranspiration. However, application of such an approach at global scale is hardly possible. NDVI time series as derived from NOAA AVHRR satellite observations have been used extensively to monitor vegetation development at different scales. To assess agricultural crop growth conditions we used the Global Inventory Modelling and Mapping Studies (GIMMS) dataset of the NASA. It contains bimonthly NDVI data in an 8-km global raster as derived from NOAAA AVHRR satellite observations for the period 1982-2002. Output of the GWSI system has been compared with results obtained through remote sensing. Preliminary results are presented.

M3 - Conference paper

SP - 684

EP - 687

BT - ISPRS Commission VII mid-term symposium 2006 "Remote sensing: from pixels to processes"

PB - ITC

CY - Enschede

T2 - ISPRS mid-term symposium 2006; Enschede

Y2 - 8 May 2006 through 11 May 2006

ER -

Monitoring crop growth conditions using the global water satisfaction index and remote sensing

Abstract

Conference/symposium

UN SDGs

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