Detecting shrub recovery in sagebrush steppe: comparing Landsat-derived maps with field data on historical wildfires
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1933-9747
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Detecting shrub recovery in sagebrush steppe: comparing Landsat-derived maps with field data on historical wildfires ; volume:17 ; number:1 ; day:19 ; month:2 ; year:2021 ; pages:1-11 ; date:12.2021
Fire ecology ; 17, Heft 1 (19.2.2021), 1-11, 12.2021
- Creator
-
Applestein, Cara
Germino, Matthew J.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s42408-021-00091-7
- URN
-
urn:nbn:de:101:1-2021040820472900030446
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:01 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Applestein, Cara
- Germino, Matthew J.
- SpringerLink (Online service)
Other Objects (12)
Root distributions predict shrub-steppe responses to precipitation intensity
Root distributions predict shrub–steppe responses to precipitation intensity
Shrub (Getränke)
Maniokstaude
Long-term weather sensitivity of open sand grasslands of the Kiskunság Sand Ridge forest-steppe mosaic after wildfires
State of Wildfires 2023–2024
![Earthquakes, hurricanes and wildfires, [...]. [Band]](/assets/placeholder/searchResultMediaNoDigitisedMedia.png)
Earthquakes, hurricanes and wildfires, [...]. [Band]
Ladies of Landsat
Modelled sensitivity of the snow regime to topography, shrub fraction and shrub height
Detecting land degradation using time-series analysis of EO Vegetation products (MODIS EVI, Proba-V, Landsat)
Assessing combinations of Landsat, Sentinel-2 and Sentinel-1 time series for detecting bark beetle infestations
State of Wildfires 2023–24
Root distributions predict shrub-steppe responses to precipitation intensity
Root distributions predict shrub–steppe responses to precipitation intensity
Shrub (Getränke)
Maniokstaude
Long-term weather sensitivity of open sand grasslands of the Kiskunság Sand Ridge forest-steppe mosaic after wildfires
State of Wildfires 2023–2024
Earthquakes, hurricanes and wildfires, [...]. [Band]
Ladies of Landsat
Modelled sensitivity of the snow regime to topography, shrub fraction and shrub height
Detecting land degradation using time-series analysis of EO Vegetation products (MODIS EVI, Proba-V, Landsat)
Assessing combinations of Landsat, Sentinel-2 and Sentinel-1 time series for detecting bark beetle infestations
State of Wildfires 2023–24
Root distributions predict shrub-steppe responses to precipitation intensity
Root distributions predict shrub–steppe responses to precipitation intensity
Shrub (Getränke)
Maniokstaude
Long-term weather sensitivity of open sand grasslands of the Kiskunság Sand Ridge forest-steppe mosaic after wildfires
State of Wildfires 2023–2024
Earthquakes, hurricanes and wildfires, [...]. [Band]
Ladies of Landsat
Modelled sensitivity of the snow regime to topography, shrub fraction and shrub height
Detecting land degradation using time-series analysis of EO Vegetation products (MODIS EVI, Proba-V, Landsat)
Assessing combinations of Landsat, Sentinel-2 and Sentinel-1 time series for detecting bark beetle infestations