INVESTIGATIONS ON THE POTENTIAL OF HYPERSPECTRAL AND SENTINEL-2 DATA FOR LAND-COVER / LAND-USE CLASSIFICATION
The automated analysis of large areas with respect to land-cover and land-use is nowadays typically performed based on the use of hyperspectral or multispectral data acquired from airborne or spaceborne platforms. While hyperspectral data offer a more detailed description of the spectral properties...
Main Authors: | M. Weinmann, P. M. Maier, J. Florath, U. Weidner |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-09-01
|
Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1/155/2018/isprs-annals-IV-1-155-2018.pdf |
Similar Items
-
Pollen-based quantitative land-cover reconstruction for northern Asia covering the last 40 ka cal BP
by: X. Cao, et al.
Published: (2019-08-01) -
A meta-analysis on environmental drivers of marine phytoplankton C : N : P
by: T. Tanioka, et al.
Published: (2020-06-01) -
A 1 km global cropland dataset from 10 000 BCE to 2100 CE
by: B. Cao, et al.
Published: (2021-11-01) -
A comparison of patterns of microbial C : N : P stoichiometry between topsoil and subsoil along an aridity gradient
by: Y. Liu, et al.
Published: (2020-04-01) -
Calculation of uncertainty in the (U–Th) ∕ He system
by: P. E. Martin, et al.
Published: (2023-02-01)