AUTOMATED GIS-BASED TECHNIQUE for EVALUATION of INDIRECT GROWING SEASON ESTIMATIONS

I. Rykin, E. Panidi, V. Tsepelev

Research output

Abstract

This article is based on NDWI (Normalized Difference Water Index) which is automatically computed from the daily MODIS data. The main purpose of the article is to tell how the evaluation of NDWI-based growing season estimations can be automated. The NDWI is used as an indicator of liquid water quantity in vegetation, which is less sensitive to atmospheric scattering effect then the famous growing index (NDVI). The NDWI is computed using cloud-based platform (Google Earth Engine was applied) and compared with the daily meteorological data. The available meteorological data is collected for the past 130 years and NDWI data is collecting for the past 20 years. An automated technique has been probated on the example of republic of Komi, as it has a different climate forming factors. This approach can be used to evaluate growing season estimations for other territories that contain vegetation. Due to the accumulated amount of data, the study is relevant and has a special significance for areas with sparse hydrometeorological network.

Original languageEnglish
Pages (from-to)209-211
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume42
Issue number4/W14
DOIs
Publication statusPublished - 23 Aug 2019
Event2019 Free and Open Source Software for Geospatial, FOSS4G 2019 - Bucharest
Duration: 26 Aug 201930 Aug 2019

Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

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