Experiences from Large-Scale Forest Mapping of Sweden Using TanDEM-X Data-Reference-Cited by-同舟云学术

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Experiences from Large-Scale Forest Mapping of Sweden Using TanDEM-X Data

Published:2017-12-02 Issue:12 Volume:9 Page:1253
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Persson Henrik,Olsson Håkan,Soja Maciej,Ulander Lars,Fransson Johan

Funder

Swedish National Space Board

Seventh Framework Programme

Deutsches Zentrum für Luft- und Raumfahrt

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/9/12/1253/pdf

Reference63 articles.

1. Laser scanning of forest resources: the nordic experience

2. Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes

3. A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory

4. Estimation of Carbon Storage in Boreal Forests Using Remote Sensing Data;Häme,1992

5. An Automatic Mosaicking Algorithm for the Generation of a Large-Scale Forest Height Map Using Spaceborne Repeat-Pass InSAR Correlation Magnitude

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1. Data homogeneity impact in tree species classification based on Sentinel-2 multitemporal data case study in central Sweden;International Journal of Remote Sensing;2024-07-10

2. Automated Estimation of Sub-Canopy Topography Combined with Single-Baseline Single-Polarization TanDEM-X InSAR and ICESat-2 Data;Remote Sensing;2024-03-26

3. Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest;Remote Sensing;2024-02-29

4. Prediction of Site Index and Age Using Time Series of TanDEM-X Phase Heights;Remote Sensing;2023-08-25

5. Comparing TanDEM-X InSAR Forest Stand Volume Prediction Models Trained Using Field and ALS Data;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

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