Results 21 to 30 of about 64 (45)

A Method for Forest Canopy Height Inversion Based on UAVSAR and Fourier–Legendre Polynomial—Performance in Different Forest Types

Drones, 2023
Mapping forest canopy height at large regional scales is of great importance for the global carbon cycle. Polarized interferometric synthetic aperture radar is an efficient and irreplaceable remote sensing tool.
Hongbin Luo, Cairong Yue, Hua Yuan, Ning Wang, Si Chen   +4 more
doaj   +1 more source

Correcting Underestimation and Overestimation in PolInSAR Forest Canopy Height Estimation Using Microwave Penetration Depth

Remote Sensing, 2022
PolInSAR is an active remote sensing technique that is widely used for forest canopy height estimation, with the random volume over ground (RVoG) model being the most classic and effective forest canopy height inversion approach.
Hongbin Luo, Cairong Yue, Ning Wang, Guangfei Luo, Si Chen   +4 more
doaj   +1 more source

A Method for Forest Canopy Height Inversion Based on Machine Learning and Feature Mining Using UAVSAR

Remote Sensing, 2022
The mapping of tropical rainforest forest structure parameters plays an important role in biodiversity and carbon stock estimation. The current mechanism models based on PolInSAR for forest height inversion (e.g., the RVoG model) are physical process ...
Hongbin Luo, Cairong Yue, Fuming Xie, Bodong Zhu, Si Chen   +4 more
doaj   +1 more source

The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation

Remote Sensing, 2020
BIOMASS is ESA’s seventh Earth Explorer mission, scheduled for launch in 2022. The satellite will be the first P-band SAR sensor in space and will be operated in fully polarimetric interferometric and tomographic modes.
Francesco Banda, Davide Giudici, Thuy Le Toan, Mauro Mariotti d’Alessandro, Kostas Papathanassiou, Shaun Quegan, Guido Riembauer, Klaus Scipal, Maciej Soja, Stefano Tebaldini, Lars Ulander, Ludovic Villard   +11 more
doaj   +1 more source

Title: The NASA AfriSAR Campaign: Airborne SAR and Lidar Measurements of Tropical Forest Structure and Biomass in Support of Future Space Missions

, 2021
In 2015 and 2016, the AfriSAR campaign was carried out as a collaborative effort among international space and National Park agencies (ESA, NASA, ONERA, DLR, ANPN and AGEOS) in support of the upcoming ESA BIOMASS, NASA-ISRO Synthetic Aperture Radar (NISAR) and NASA Global Ecosystem Dynamics Initiative (GEDI) missions.
Temilola Fatoyinbo, John Armston, Marc Simard, Sassan Saatchi, Michael Denbina, Marco Lavalle, Michelle Hofton, Hao Tang, Suzanne Marselis, Naiara Pinto, Steven Hancock, Brian Hawkins, Laura Duncanson, Bryan Blair, Christy Hansen, Yunling Lou, Ralph Dubayah, Scott Hensley, Carlos Silva, John R Poulsen, Nicolas Labrière, Nicolas Barbier, Kathryn Jeffery, David Kenfack, Herve Memiaghe, Pulcherie Bissiengou, Alfonso Alonso, Ghislain Moussavou, Lee White, Simon Lewis, Kathleen Hibbard   +30 more
openaire   +1 more source

The GEDI Simulator: A Large‐Footprint Waveform Lidar Simulator for Calibration and Validation of Spaceborne Missions

Earth and Space Science, Volume 6, Issue 2, Page 294-310, February 2019., 2019
NASA's Global Ecosystem Dynamics Investigation (GEDI) is a spaceborne lidar mission which will produce near global (51.6°S to 51.6°N) maps of forest structure and above‐ground biomass density during its 2‐year mission. GEDI uses a waveform simulator for calibration of algorithms and assessing mission accuracy. This paper implements a waveform simulator,
Steven Hancock, John Armston, Michelle Hofton, Xiaoli Sun, Hao Tang, Laura I. Duncanson, James R. Kellner, Ralph Dubayah   +7 more
wiley   +1 more source

Machine-Learning Applications for the Retrieval of Forest Biomass from Airborne P-Band SAR Data

Remote Sensing, 2020
This study aimed at evaluating the potential of machine learning (ML) for estimating forest biomass from polarimetric Synthetic Aperture Radar (SAR) data.
Emanuele Santi, Simonetta Paloscia, Simone Pettinato, Giovanni Cuozzo, Antonio Padovano, Claudia Notarnicola, Clement Albinet   +6 more
doaj   +1 more source

Regional Tropical Aboveground Biomass Mapping with L-Band Repeat-Pass Interferometric Radar, Sparse Lidar, and Multiscale Superpixels

Remote Sensing, 2020
We introduce a multiscale superpixel approach that leverages repeat-pass interferometric coherence and sparse AGB estimates from a simulated spaceborne lidar in order to extend the NISAR mission’s applicable range of aboveground biomass (AGB) in tropical
Charlie Marshak, Marc Simard, Laura Duncanson, Carlos Alberto Silva, Michael Denbina, Tien-Hao Liao, Lola Fatoyinbo, Ghislain Moussavou, John Armston   +8 more
doaj   +1 more source

PG-GVB: A prior constrained backscatter framework for P-band PolInSAR forest height inversion

International Journal of Applied Earth Observations and Geoinformation
Facilitated by the BIOMASS mission, P-band polarimetric SAR interferometry (PolInSAR) provides a key capability for large-scale forest height mapping and biomass estimation.
Lei Wang, Linping Yang, Gaoyun Shen, Junyi Liu, Junnan Xiong, Lin Fu, Li Zeng, Bing Yu, Chongchong Ye   +8 more
doaj   +1 more source

A Three-Component Polarimetric Target Decomposition Algorithm for Grasslands

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Previous polarimetric target decomposition methods have been widely used in forests and buildings and have achieved good results. However, there is a lack of corresponding modeling for the study of grassland scattering characteristics.
Baokun Liu, Xiaoqi Lv, Xiujuan Li, Xiangli Yang, Pingping Huang, Weixian Tan, Yongguang Zhai, Yuejuan Chen, Kunpeng Xu   +8 more
doaj   +1 more source