Current Status and Perspectives for the Estimation of Crop Water Requirements from Earth Observation

This paper presents an overview of current techniques and recent developments in the application of Earth Observation data for assessing crop water requirements. During recent years there has been much progress in understanding land surface-atmosphere processes and their parameterisation in the management of land and water resources. This knowledge can be combined with the potentiality of Earth Observation techniques from space, which are able to provide detailed information for monitoring agricultural systems. As today, two main developments in the field of Earth Observation data acquisition and analysis have occurred: a) availability of new generations of sensors, with enhanced spectral and spatial resolution; b) detailed knowledge of the processes that determine the response of land surface as detected from remote sensors in different regions of the electromagnetic spectrum. These advancements have made possible a “quantitative” approach in the interpretation of Earth Observation data, ready for being transferred to operative applications i.e. for irrigation scheduling and water management. This paper presents a review of current applications of optical data in the visible and near infrared spectral regions, with particular emphasis to the experiences developed by the author within AQUATER and other research projects project.

[1]  C. J. Tucker,et al.  A comparison of satellite sensor bands for vegetation monitoring , 1978 .

[2]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[3]  B. Pinty,et al.  A physical model of the bidirectional reflectance of vegetation canopies , 1990 .

[4]  G. D’Urso,et al.  Experimental assessment of the Sentinel-2 band setting for RTM-based LAI retrieval of sugar beet and maize , 2009 .

[5]  N. L. Powell,et al.  Use of remote sensing in agriculture , 1974 .

[6]  J. Monteith,et al.  Principles of Environmental Physics , 2014 .

[7]  R. Allen,et al.  Evapotranspiration and Irrigation Water Requirements , 1990 .

[8]  J. R. Jensen,et al.  Remote sensing of agricultural water demand information: A California study , 1978 .

[9]  J. Doorenbos,et al.  Guidelines for predicting crop water requirements , 1977 .

[10]  D. Deering Rangeland reflectance characteristics measured by aircraft and spacecraft sensors , 1979 .

[11]  Frederic Teston,et al.  The PROBA/CHRIS mission: a low-cost smallsat for hyperspectral multiangle observations of the Earth surface and atmosphere , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Guido D'Urso,et al.  Mapping crop coefficients in irrigated areas from Landsat TM images , 1995, Remote Sensing.

[13]  R. Myneni,et al.  Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data , 2000 .

[14]  W. Verhoef Light scattering by leaf layers with application to canopy reflectance modelling: The SAIL model , 1984 .

[15]  Alfonso Calera Belmonte,et al.  Irrigation management from space: Towards user-friendly products , 2005 .

[16]  S. Idso,et al.  Canopy temperature as a crop water stress indicator , 1981 .

[17]  Guido D'Urso,et al.  Performance indicators for the statistical evaluation of digital image classifications , 1996 .

[18]  Katja Richter,et al.  Leaf Area Index and Surface Albedo Estimation: Comparative Analysis from Vegetation Indexes to Radiative Transfer Models , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[19]  J. Clevers Application of a weighted infrared-red vegetation index for estimating leaf Area Index by Correcting for Soil Moisture , 1989 .

[20]  Wim G.M. Bastiaanssen,et al.  Determination of surface hemispherical reflectance with Thematic Mapper data , 1989 .

[21]  William P. Kustas,et al.  Use of remote sensing for evapotranspiration monitoring over land surfaces , 1996 .

[22]  Jerry C. Ritchie,et al.  Estimation of effective aerodynamic roughness of Walnut Gulch watershed with laser altimeter measurements , 1994 .

[23]  F. Baret,et al.  PROSPECT: A model of leaf optical properties spectra , 1990 .

[24]  Alfonso Calera,et al.  A procedure for obtaining green plant cover: Relation to NDVI in a case study for barley , 2001 .

[25]  F. Baret,et al.  Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .

[26]  R. Dickinson,et al.  A physical model of the bidirectional reflectance of vegetation canopies: 2. Inversion and validation , 1990 .

[27]  Katja Richter,et al.  Physically-based Methods for the Estimation of Crop Water Requirements from E.O. Optical Data , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[28]  Joe T. Ritchie,et al.  Model for predicting evaporation from a row crop with incomplete cover , 1972 .

[29]  B. Pinty,et al.  GEMI: a non-linear index to monitor global vegetation from satellites , 1992, Vegetatio.

[30]  N. U. Ahmed,et al.  Relations between evaporation coefficients and vegetation indices studied by model simulations , 1994 .

[31]  A. J. Richardsons,et al.  DISTINGUISHING VEGETATION FROM SOIL BACKGROUND INFORMATION , 1977 .

[32]  A. H. Bosma,et al.  THE WATER CONSUMPTION OF AGRICULTURAL CROPS: HOW CROP COEFFICIENTS ARE AFFECTED BY CROP GEOMETRY AND MICROCLIMATE , 1990 .

[33]  Gert A. Schultz,et al.  Remote Sensing in Hydrology and Water Management , 2000 .

[34]  I. F. Long,et al.  Surface Resistance of Crop Canopies , 1969 .

[35]  G. D. Urso Simulation and management of on-demand irrigation systems: a combined agrohydrological and remote sensing approach , 2001 .

[36]  Marco Acutis,et al.  AQUATER Software as a DSS for Irrigation Management in Semi-Arid Mediterranean Areas , 2010 .

[37]  J. C. Price Estimating Leaf Area Index from Remotely Sensed Data , 1992, [Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium.

[38]  M. Raupach,et al.  Maximum conductances for evaporation from global vegetation types , 1995 .

[39]  W. Bausch,et al.  Crop Coefficients Derived from Reflected Canopy Radiation: A Concept , 1987 .

[40]  W. Bastiaanssen Regionalization of surface flux densities and moisture indicators in composite terrain. A remote sensing approach under clear skies in Mediterranean climates. , 1995 .

[41]  Guido D'Urso,et al.  Operative Approaches To Determine Crop Water Requirements From Earth Observation Data: Methodologies And Applications , 2006 .

[42]  A. Huete A soil-adjusted vegetation index (SAVI) , 1988 .

[43]  W. Bausch Remote sensing of crop coefficients for improving the irrigation scheduling of corn , 1995 .

[44]  J.J.B. Bronswijk,et al.  Modelling soil water dynamics in the unsaturated zone — State of the art , 1988 .

[45]  L. Dini,et al.  Estimation of Land Surface Parameters Through Modeling Inversion of Earth Observation Optical Data , 2009 .