Mr. Gennady P. Garbuzov Profile

Gennady P. Garbuzov

at SRIA Ctr

SPIE Involvement:

Author

Publications (2)

Proceedings Article | 24 February 2004 Paper

Detailed monitoring of agricultural production based on the MODIS radiometer data

Victor Povkh, Eugeny Vorobeychik, Ludmila Shljakhova, Gennady Garbuzov, Irina Beljaeva, Inessa Sytnyck

Proceedings Volume 5232, (2004) https://doi.org/10.1117/12.510638

KEYWORDS: Agriculture, Radiometry, Remote sensing, Data modeling, Spatial resolution, MODIS, Vegetation, Statistical analysis, Global Positioning System, Near infrared

Read 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.

Proceedings Article | 29 December 2000 Paper

Model calculations of the brightness coefficient spectra for interpretation of the spectrometric data on freshwater quality

Boris Sukhorukov, Gennady Garbuzov, Alex Akawiec

Proceedings Volume 4341, (2000) https://doi.org/10.1117/12.411990

KEYWORDS: Ecosystems, Data modeling, Spectroscopy, Scattering, Astronomical imaging, Absorption, Minerals, Water, Light scattering, Active optics

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years