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Proceedings Paper

Detailed monitoring of agricultural production based on the MODIS radiometer data
Author(s): Victor I. Povkh; Eugeny A. Vorobeychik; Ludmila A. Shljakhova; Gennady P. Garbuzov; Irina E. Beljaeva; Inessa V. Sytnyck
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Paper Abstract

The opportunity of regular receiving of the MODIS/TERRA radiometer data in the direct broadcast mode makes it possible to use these data as perspective information source for the detailed analysis of agricultural production on a regional scale. The most suitable MODIS/TERRA data subset for this purpose is a pair of red and NIR spectral bands with 250 m spatial resolution. The specified spectral ranges are in accordance with the well known remote sensing algorithms applied to estimate vegetation properties. In the SRIA-Centre, Rostov-on-Don supported by the Rostov region administration, techniques have been tested for several years aimed at prompt checking of winter wheat crops by the MODIS/TERRA radiometer data. The type of crops selected for the related studies is due to the large size of individual fields of winter wheat in the region. Thus, any losses of accuracy resulted from the low spatial resolution of MODIS/TERRA radiometer data are diminished. To achieve the needed accuracy, the quality assessment of land vector layers is of great importance. These vector layers are used both for registration of space images and for field masks creation during image interpretation. The vector layers have been created on the basis of the Russian high resolution space photo of the KFA-1000 starting from 1999. Thematic analysis of MODIS/TERRA radiometer data is made with use of supervised classification techniques which require to define training classes prior to execution. Training classes are determined using the selected test sites (crop fields). The numerous regular inspected test sites are sorted in various agricultural zones of the region. GPS receivers serve to make analyses of the inspected fields and probe points location. The scaling test of winter wheat crops monitoring technology was carried out in 2002. Comparison of its results and farm reports has shown a sufficient reliability of remote sensing estimations on both sizes of the areas of agricultural production and crop condition assessment. All remote sensing processing procedures are conducted by ENVI 3.5 software.

Paper Details

Date Published: 24 February 2004
PDF: 5 pages
Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); doi: 10.1117/12.510638
Show Author Affiliations
Victor I. Povkh, South Regional Information and Analytical Ctr. (Russia)
Eugeny A. Vorobeychik, Rostov Region Administration (Russia)
Ludmila A. Shljakhova, Donecocentre (Russia)
Gennady P. Garbuzov, South Regional Information and Analytical Ctr. (Russia)
Irina E. Beljaeva, South Regional Information and Analytical Ctr. (Russia)
Inessa V. Sytnyck, South Regional Information and Analytical Ctr. (Russia)


Published in SPIE Proceedings Vol. 5232:
Remote Sensing for Agriculture, Ecosystems, and Hydrology V
Manfred Owe; Guido D'Urso; Jose F. Moreno; Alfonso Calera, Editor(s)

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