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Phenological NDVI time series for the dynamic derivation of soil coverage information

Möller, Markus and Gerstmann, Henning and Dahms, Thorsten (2017) Phenological NDVI time series for the dynamic derivation of soil coverage information. IGARSS, 23 -28.07.2017, Dallas, Texas.

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"Monitoring of agricultural used soils at frequent intervals is needed to get a better understanding of processes like soil erosion or harvest forecast. This is crucial to support decision making and refining soil policies especially in the context of climate change. Parcel-specific soil coverage information can be derived by satellite imagery with high temporal and geometric resolution. However, their usable number is mostly, due to cloud cover, not representative for the phenological characteristics of vegetated classes. To overcome temporal constraints, spatial and temporal fusion models like STARFM or ESTARFM are increasingly applied to derive high resolution time series of remotely sensed biophysical parameters based on high-spatial/low-temporal resolution imagery like Landsat or Sentinel-2 and low-spatial/high-temporal resolution imagery like MODIS. We show how their combination with corresponding phenological information enables the definition of temporal windows in which models predicting fractional Vegetation coverage (FV C) or bare soils (BS) can be selectively applied

Item URL in elib:https://elib.dlr.de/115666/
Document Type:Conference or Workshop Item (Speech)
Title:Phenological NDVI time series for the dynamic derivation of soil coverage information
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Möller, Markusmarkus.moeller (at) landw.uni-halle.deUNSPECIFIED
Gerstmann, Henninghenning.gerstmann (at) geo.uni-halle.deUNSPECIFIED
Dahms, Thorstenthorsten.dahms (at) uni-wuerzburg.deUNSPECIFIED
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:Monitoring, phenology, STARFM, FVC, MODIS
Event Title:IGARSS
Event Location:Dallas, Texas
Event Type:international Conference
Event Dates:23 -28.07.2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:21 Nov 2017 13:40
Last Modified:21 Nov 2017 13:40

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