Dominant Leaf Type Classification Using Sentinel-1 Time Series
Author:
Affiliation:
1. Technical University of Munich (TUM),Chair of Data Science in Earth Observation,Munich,Germany
2. German Aerospace Center (DLR),Remote Sensing Technology Institute (IMF),Weßling,Germany
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641307.pdf?arnumber=10641307
Reference11 articles.
1. Biomass Estimation and Uncertainty Quantification From Tree Height
2. Wall-to-Wall Tree Type Mapping from Countrywide Airborne Remote Sensing Surveys
3. Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data
4. Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries
5. U-Net: Convolutional Networks for Biomedical Image Segmentation
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