Volume XLII-3/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W2, 179–182, 2017
https://doi.org/10.5194/isprs-archives-XLII-3-W2-179-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W2, 179–182, 2017
https://doi.org/10.5194/isprs-archives-XLII-3-W2-179-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  16 Nov 2017

16 Nov 2017

NDWI-BASED TECHNIQUE FOR DETECTION OF CHANGE DATES OF THE GROWING SEASONS IN RUSSIAN SUBARCTIC

E. Panidi1 and V. Tsepelev2 E. Panidi and V. Tsepelev
  • 1Department of Cartography and Geoinformatics, Saint Petersburg State University, St. Petersburg, Russia
  • 2Meteorological Department, Russian State Hydrometeorological University, St. Petersburg, Russia

Keywords: Climate Change, Dynamics of Vegetation, Growing Seasons, Vegetation Indexes, NDWI

Abstract. The paper describes a technique for automated analysis of the annual graphs of Normalized Difference Water Index, which enables to allocate framing dates of the spring, summer and autumn growing seasons. The approach proposed and used for detection of growing season dates allows to detect beginning and ending dates for summer season (when the surface air temperature is above +10 °C), in addition to the detection of beginning date for spring season and ending date for autumn season (when the temperature is above +5 °C), as it described by some authors. We describe general idea of the analysis of NDWI annual graphs and some collisions in the graph data, which are possible when the graph is derived from the satellite imagery time series.