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Doris Klein

Researcher at German Aerospace Center

Publications -  36
Citations -  697

Doris Klein is an academic researcher from German Aerospace Center. The author has contributed to research in topics: Land cover & Vegetation. The author has an hindex of 10, co-authored 33 publications receiving 547 citations. Previous affiliations of Doris Klein include University of Würzburg.

Papers
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Journal ArticleDOI

The relationship between precipitation anomalies and satellite-derived vegetation activity in Central Asia

Ursula Gessner, +6 more
- 01 Nov 2013 - 
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Temporal segmentation of MODIS time series for improving crop classification in Central Asian irrigation systems

Christopher Conrad, +4 more
- 01 Dec 2011 - 
TL;DR: In this paper, an improved mapping procedure for crop rotations of irrigated areas in Central Asia by using classification and regression trees CARTs applied to transformations of 250m MODIS Normalized Difference Vegetation Index NDVI time series was presented.
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Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images

Christopher Conrad, +8 more
- 01 Apr 2014 - 
TL;DR: In this paper, an evaluation of the optimum number of acquisition dates and most suitable temporal windows for the discrimination of crops over heterogeneous agricultural landscapes utilizing multitemporal data from the RapidEye satellite constellation is presented.
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Comparing the suitability of classified land cover data and remote sensing variables for modeling distribution patterns of plants

Anna F. Cord, +4 more
- 24 Jan 2014 - 
TL;DR: In this paper, the suitability of categorical land cover data to account for the human-induced degradation, transformation and loss of natural habitat in species distribution models (SDMs) has been questioned and the number of studies directly analyzing remotely sensed variables has lately multiplied.
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Remote sensing data can improve predictions of species richness by stacked species distribution models: a case study for Mexican pines

Anna F. Cord, +7 more
- 01 Apr 2014 - 
TL;DR: In this paper, the authors evaluated the suitability of remote sensing data in stacked species distribution models (S-SDMs) and addressed the commonly observed overestimation of species richness.