2019
DOI: 10.1080/22797254.2019.1701560
|View full text |Cite
|
Sign up to set email alerts
|

Multi-temporal RapidEye Tasselled Cap data for land cover classification

Abstract: Land cover mapping can be seen as a key element to understand the spatial distribution of habitats and thus to sustainable management of natural resources. Multi-temporal remote sensing data are a valuable data source for land cover mapping. However, the increased amount of data requires effective machine learning algorithms and data compression approaches. In this study, the Random Forest and C 5.0 classification algorithms were applied to (1) a multi-temporal Tasselled-Cap-transformed, (2) top of atmosphere … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
7
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5

Relationship

2
3

Authors

Journals

citations
Cited by 6 publications
(7 citation statements)
references
References 53 publications
0
7
0
Order By: Relevance
“…230 km 2 ) is not fenced, public entrance is not allowed. GTA is mainly covered by forest (40%) and open habitats (30%), which are to some extent managed by mowing or mulching (Raab et al 2019). Other parts of the open areas remain without mechanical management but might occasionally burn or be otherwise disturbed by military activities.…”
Section: Study Areamentioning
confidence: 99%
“…230 km 2 ) is not fenced, public entrance is not allowed. GTA is mainly covered by forest (40%) and open habitats (30%), which are to some extent managed by mowing or mulching (Raab et al 2019). Other parts of the open areas remain without mechanical management but might occasionally burn or be otherwise disturbed by military activities.…”
Section: Study Areamentioning
confidence: 99%
“…We studied vegetation responses to the exclusion of wild red deer in the US Army Garrison Grafenwöhr Training Area (GTA) in Bavaria, Germany (49°40′56″ N, 11°47′20″ E; Appendix S1). GTA covers ~230 km 2 , composed of 60% forest and 40% open land (Raab et al, 2019). Long-time (1981Long-time ( -2010 annual averages of temperature and precipitation are 8.3 ± 0.04°C and 701 ± 4 mm (mean ± SE of four weather stations of the German Weather Service (Deutscher Wetterdienst) in close proximity to GTA; Appendix S2).…”
Section: Study Areamentioning
confidence: 99%
“…Location of GTA within Germany is shown in the top-right inset. We derived land cover classification from a 5 × 5-m spatial resolution RapidEye remote sensing time series (Raab et al 2019).…”
Section: Study Areamentioning
confidence: 99%
“…We assessed the following variables: hourly displacements as distances between consecutive locations taken about 60 minutes apart and the land cover type (forest vs. open) at relocations. Forest included the following land cover classes of a raster dataset derived from a 5 × 5-m spatial resolution RapidEye remote sensing time series (Raab et al 2019): broad-leafed forest, coniferous forest, and transitional woodland-shrub. Open cover types consisted of managed grassland, unmanaged grassland, moors, and heathland.…”
Section: Habitat Selection and Hourly Displacement Ratesmentioning
confidence: 99%
See 1 more Smart Citation