Anzahl der Einträge: 6.
2020
Devkota, Ram Sharan ; Field, Richard ; Hoffmann, Samuel ; Walentowitz, Anna J. ; Medina, Félix M. ; Vetaas, Ole R. ; Chiarucci, Alessandro ; Weiser, Frank ; Jentsch, Anke ; Beierkuhnlein, Carl:
Assessing the Potential Replacement of Laurel Forest by a Novel Ecosystem in the Steep Terrain of an Oceanic Island.
In: Remote Sensing.
Bd. 12
(2020)
Heft 24
.
- No. 4013.
ISSN 2072-4292
DOI der Verlagsversion: https://doi.org/10.3390/rs12244013
Ulloa-Torrealba, Yrneh ; Stahlmann, Reinhold ; Wegmann, Martin ; Koellner, Thomas:
Over 150 Years of Change : Object-Oriented Analysis of Historical Land Cover in the Main River Catchment, Bavaria/Germany.
In: Remote Sensing.
Bd. 12
(2020)
Heft 24
.
- No. 4048.
ISSN 2072-4292
DOI der Verlagsversion: https://doi.org/10.3390/rs12244048
2017
Lee, Bora ; Kwon, Hyojung ; Miyata, Akira ; Lindner, Steve ; Tenhunen, John:
Evaluation of a phenology-dependent response method for estimating leaf area index of rice across cllimate gradients.
In: Remote Sensing.
Bd. 9
(2017)
Heft 1
.
- S. 20.
ISSN 2072-4292
DOI der Verlagsversion: https://doi.org/10.3390/rs9010020
2016
Schumacher, Paul ; Mislimshoeva, Bunafsha ; Brenning, Alexander ; Zandler, Harald ; Brandt, Martin ; Samimi, Cyrus ; Koellner, Thomas:
Do Red Edge and Texture Attributes from High-Resolution Satellite Data Improve Wood Volume Estimation in a Semi-Arid Mountainous Region?
In: Remote Sensing.
Bd. 8
(24 Juni 2016)
Heft 7
.
- 19 Seiten.
ISSN 2072-4292
DOI der Verlagsversion: https://doi.org/10.3390/rs8070540
2015
Zandler, Harald ; Samimi, Cyrus ; Brenning, Alexander:
Potential of Space-Borne Hyperspectral Data for Biomass Quantification in an Arid Environment : Advantages and Limitations.
In: Remote Sensing.
Bd. 7
(15 April 2015)
Heft 4
.
- S. 4565-4580.
ISSN 2072-4292
DOI der Verlagsversion: https://doi.org/10.3390/rs70404565
Mayr, Manuel J. ; Samimi, Cyrus:
Comparing the dry season in-situ leaf area index (lai) derived from high-resolution rapideye imagery with MODIS LAI in a Namibian savanna.
In: Remote Sensing.
Bd. 7
(2015)
Heft 4
.
- S. 4834-4857.
ISSN 2072-4292
DOI der Verlagsversion: https://doi.org/10.3390/rs70404834
