I. Rykin, E. Panidi, V. Tsepelev

Результат исследований: Научные публикации в периодических изданияхстатья в журнале по материалам конференции


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.

Язык оригиналаанглийский
Страницы (с-по)209-211
ЖурналInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Номер выпуска4/W14
СостояниеОпубликовано - 23 авг 2019
Событие2019 Free and Open Source Software for Geospatial, FOSS4G 2019 - Bucharest, Румыния
Продолжительность: 26 авг 201930 авг 2019

Предметные области Scopus

  • Информационные системы
  • География, планирование и развитие

Fingerprint Подробные сведения о темах исследования «AUTOMATED GIS-BASED TECHNIQUE for EVALUATION of INDIRECT GROWING SEASON ESTIMATIONS». Вместе они формируют уникальный семантический отпечаток (fingerprint).

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