Results 11 to 20 of about 64 (45)
Corrections to “A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data” [Oct 19 3453-3463] [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Mariano Garcia +2 more
exaly +2 more sources
CORRELATION ANALYSIS FOR TROPICAL FOREST ABOVE GROUND BIOMASS AND VERTICAL REFLECTIVITY PROFILE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Tropical forests play a key role in the carbon cycle and sustainable development and their above ground biomass (AGB) is applied as an quantitative parameter for the research on global carbon cycle and ecological function.
W. Li, J. Wu, L. Liu, Y. Li, E. Chen
doaj +1 more source
Forest Height Estimation by Means of TanDEM-X InSAR and Waveform Lidar Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Model-based forest height inversion from Pol-InSAR data relies on the realistic parameterization of the underlying (vertical) radar reflectivity function.
Roman Guliaev +3 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Forest height is a key forest parameter which is of great significance for monitoring forest resources, calculating forest biomass, and observing the global carbon cycle.
Dandan Li +4 more
doaj +1 more source
Remote Sensing, 2021 Vegetation height estimation plays a pivotal role in forest mapping, which significantly promotes the study of environment and climate. This paper develops a general forest structure model for vegetation height estimation using polarimetric ...
Cheng Xing +5 more
doaj +1 more source
In Situ Reference Datasets From the TropiSAR and AfriSAR Campaigns in Support of Upcoming Spaceborne Biomass Missions [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018 Tropical forests are a key component of the global carbon cycle. Yet, there are still high uncertainties in forest carbon stock and flux estimates, notably because of their spatial and temporal variability across the tropics. Several upcoming spaceborne missions have been designed to address this gap. High-quality ground data are essential for accurate
Nicolas Labriere +25 more
openaire +5 more sources
The AfriSAR Campaign: Tomographic Analysis With Phase-Screen Correction for P-Band Acquisitions [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018 ESA's earth explorer BIOMASS mission is a P -band (432–438 MHz) synthetic aperture radar (SAR) using a combination of polarimetry and interferometric observations to quantify the vertical structure and biomass of global forests, with the primary focus on tropical forests.
Valentine Wasik +3 more
openaire +1 more source
A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Up-to-date canopy height model (CHM) estimates are of key importance for forest resource monitoring and disturbance analysis. In this article, we present a study on the potential of deep learning (DL) for the regression of forest height from TanDEM-X ...
Daniel Carcereri +3 more
doaj +1 more source
TREE CANOPY HEIGHT ESTIMATION USING MULTI BASELINE RVOG INVERSION TECHNIQUE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) technique utilizes the characteristics of both SAR polarimetry and Interferometry. PolInSAR technique is proved to be very useful for vegetation parameters retrieval. Estimation of the tree
A. Babu, S. Kumar
doaj +1 more source
UAVSAR Tomography for Vertical Profile Generation of Tropical Forest of Mondah National Park, Gabon
Earth and Space Science, Volume 7, Issue 10, October 2020., 2020 Abstract Polarimetric synthetic‐aperture radar (SAR) remote sensing has been widely used for structural and biophysical parameters retrieval of forest vegetation. It has been found that the combination of polarimetric properties and interferometric characteristics of SAR remote sensing provides the capacity to retrieve forest height.
Udit Asopa, Shashi Kumar
wiley +1 more source