Edward T. A. Mitchard

Orcid: 0000-0002-5690-4055

According to our database1, Edward T. A. Mitchard authored at least 27 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Comparing remote sensing-based forest biomass mapping approaches using new forest inventory plots in contrasting forests in northeastern and southwestern China.
CoRR, 2024

2023
Mapping Water Levels across a Region of the Cuvette Centrale Peatland Complex.
Remote. Sens., June, 2023

Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data.
CoRR, 2023

Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning.
CoRR, 2023

2022
Improving Estimates and Change Detection of Forest Above-Ground Biomass Using Statistical Methods.
Remote. Sens., 2022

Sentinel-1 Shadows Used to Quantify Canopy Loss from Selective Logging in Gabon.
Remote. Sens., 2022

An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas.
Remote. Sens., 2022

Detecting Deforestation from Sentinel-1 Data in the Absence of Reliable Reference Data.
CoRR, 2022

2021
A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Using Experimental Sites in Tropical Forests to Test the Ability of Optical Remote Sensing to Detect Forest Degradation at 0.3 - 30 M Resolutions.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Rapid Mangrove Forest Loss and Nipa Palm (Nypa fruticans) Expansion in the Niger Delta, 2007-2017.
Remote. Sens., 2020

Inter-Seasonal Time Series Imagery Enhances Classification Accuracy of Grazing Resource and Land Degradation Maps in a Savanna Ecosystem.
Remote. Sens., 2020

Assessing Forest/Non-Forest Separability Using Sentinel-1 C-Band Synthetic Aperture Radar.
Remote. Sens., 2020

First Evidence of Peat Domes in the Congo Basin using LiDAR from a Fixed-Wing Drone.
Remote. Sens., 2020

Monitoring Mega-Crown Leaf Turnover from Space.
Remote. Sens., 2020

2018
More Than Meets the Eye: Using Sentinel-2 to Map Small Plantations in Complex Forest Landscapes.
Remote. Sens., 2018

2017
Relationships of S-Band Radar Backscatter and Forest Aboveground Biomass in Different Forest Types.
Remote. Sens., 2017

2016
A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring.
Remote. Sens., 2016

Wavelet Based Analysis of TanDEM-X and LiDAR DEMs across a Tropical Vegetation Heterogeneity Gradient Driven by Fire Disturbance in Indonesia.
Remote. Sens., 2016

Tropical forest heterogeneity from TanDEM-X InSAR and lidar observations in Indonesia.
Proceedings of the SAR Image Analysis, 2016

2015
Spatial Wavelet Statistics of SAR Backscatter for Characterizing Degraded Forest: A Case Study From Cameroon.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

L-Band SAR Backscatter Related to Forest Cover, Height and Aboveground Biomass at Multiple Spatial Scales across Denmark.
Remote. Sens., 2015

Statistics of TanDEM-X DSM, coherence and backscatter for the characterization of tropical forest structural configuration.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Spatio-temporal wavelet statistics of SAR backscatter for the characterization of forest degradation in Cameroon.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Analysis of TanDEM-X InSAR data aimed at the characterisation of vegetation vertical structure: A case study in injune (Queensland, Australia).
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Fusing radar and optical remote sensing for biomass prediction in mountainous tropical forests.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2009
The Use of ALOS PALSAR for Supporting Sustainable Forest Use in Southern Africa: A Case Study in Malawi.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009


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