Name
Affiliation
Papers
SASSAN SAATCHI
Jet Propuls Lab Natl Aeronaut & Space Adm, Pasadena, CA USA
35
Collaborators
Citations 
PageRank 
177
133
20.95
Referers 
Referees 
References 
472
495
179
Search Limit
100495
Title
Citations
PageRank
Year
The Role of the Biomass Mission in Carbon Cycle Science and Politics.00.342021
Ecosystem Sciences with NISAR.00.342021
Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania00.342020
Use Of Local And Global Maps Of Forest Canopy Height And Aboveground Biomass To Enhance Local Estimates Of Biomass In Miombo Woodlands In Tanzania00.342020
A Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests.00.342019
Local validation of global biomass maps.00.342019
Estimation of Tropical Forest Structure and Biomass from Airborne P-band Backscatter and TomoSAR Measurements.00.342019
The AfriSAR Campaign: Tomographic Analysis With Phase-Screen Correction for P-Band Acquisitions.00.342018
Comparison of Small- and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study From Central Gabon.10.412018
Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery.50.662018
Fusion of NASA Airborne Snow Observatory (ASO) Lidar Time Series over Mountain Forest Landscapes.10.362018
Topography and Three-Dimensional Structure Can Estimate Tree Diversity along a Tropical Elevational Gradient in Costa Rica.00.342018
Foreword to the Special Issue on Forest Structure Estimation in Remote Sensing.00.342018
In Situ Reference Datasets From the TropiSAR and AfriSAR Campaigns in Support of Upcoming Spaceborne Biomass Missions.00.342018
Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest.10.372017
Extrapolating Forest Canopy Fuel Properties in the California Rim Fire by Combining Airborne LiDAR and Landsat OLI Data.30.472017
Sensitivity of L-Band SAR Backscatter to Aboveground Biomass of Global Forests.00.342016
Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory.10.362016
Abiotic Controls on Macroscale Variations of Humid Tropical Forest Height.00.342016
Sensitivity of Pol-InSAR Measurements to Vegetation Parameters10.412015
L-Band SAR Backscatter Related to Forest Cover, Height and Aboveground Biomass at Multiple Spatial Scales across Denmark30.442015
A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture80.652015
Soil Moisture Estimation Under Tropical Forests Using UHF Radar Polarimetry30.522015
The Effect of Variable Soil Moisture Profiles on P-Band Backscatter10.372014
Remote Sensing Assessment of Forest Disturbance across Complex Mountainous Terrain: The Pattern and Severity of Impacts of Tropical Cyclone Yasi on Australian Rainforests10.432014
Impacts of Spatial Variability on Aboveground Biomass Estimation from L-Band Radar in a Temperate Forest110.622013
Plant Species Richness is Associated with Canopy Height and Topography in a Neotropical Forest51.072012
Application of Semi-Automated Filter to Improve Waveform Lidar Sub-Canopy Elevation Model40.712012
Assessing Performance of L- and P-Band Polarimetric Interferometric SAR Data in Estimating Boreal Forest Above-Ground Biomass.231.362012
A parameterized inversion model for soil moisture and biomass from polarimetric backscattering coefficients00.342012
Analysis Of Geosar Dual-Band Insar Data For Peruvian Forest40.712010
Genesis Of A New Nasa Insar Mission Concept, And Natural Hazards Applications00.342007
Spatial Patterns Of The Canopy Stress During 2005 Drought In Amazonia10.512007
Microwave Observatory of Subcanopy and Subsurface (MOSS): A Mission Concept for Global Deep Soil Moisture Observations161.462007
Estimation of Forest Fuel Load From Radar Remote Sensing403.992007