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Nuria Sánchez-López
Nuria Sánchez-López
Visiting scientist at US Forest Service
usda.gov의 이메일 확인됨
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Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission
L Duncanson, JR Kellner, J Armston, R Dubayah, DM Minor, S Hancock, ...
Remote Sensing of Environment 270, 112845, 2022
2752022
Crown-Level Structure and Fuel Load Characterization from Airborne and Terrestrial Laser Scanning in a Longleaf Pine (Pinus palustris Mill.) Forest Ecosystem
KD Rocha, CA Silva, DN Cosenza, M Mohan, C Klauberg, ...
Remote Sensing 15 (4), 1002, 2023
202023
A spatially explicit model of tree leaf litter accumulation in fire maintained longleaf pine forests of the southeastern US
N Sánchez-López, AT Hudak, L Boschetti, CA Silva, K Robertson, ...
Ecological Modelling 481, 110369, 2023
152023
Semi-automated delineation of stands in an even-age dominated Forest: A LiDAR-GEOBIA two-Stage evaluation strategy
N Sanchez-Lopez, L Boschetti, AT Hudak
Remote Sensing 10 (10), 1622, 2018
132018
Multitemporal lidar captures heterogeneity in fuel loads and consumption on the Kaibab Plateau
BC Bright, AT Hudak, TR McCarley, A Spannuth, N Sánchez-López, ...
Fire Ecology 18 (1), 18, 2022
112022
Estimating time since the last stand-replacing disturbance (TSD) from spaceborne simulated GEDI data: A feasibility study
N Sanchez-Lopez, L Boschetti, AT Hudak, S Hancock, LI Duncanson
Remote Sensing 12 (21), 3506, 2020
92020
Reconstruction of the disturbance history of a temperate coniferous forest through stand-level analysis of airborne LiDAR data
N Sanchez-Lopez, L Boschetti, AT Hudak
Forestry: An International Journal of Forest Research 93 (1), 38-55, 2020
62020
The AEMON-J “Hacking Limnology” workshop series & virtual summit: Incorporating data science and open science in aquatic research
MF Meyer, R Ladwig, JP Mesman, IA Oleksy, CC Barbosa, KM Cawley, ...
Limnology and Oceanography Bulletin 30 (4), 140-143, 2021
52021
Hacking limnology workshop and DSOS22: Creating a community of practice for the nexus of data science, open science, and the aquatic sciences
MF Meyer, CC Barbosa, R Ladwig, JP Mesman, NS Börekçi, K Cawley, ...
Limnology and Oceanography Bulletin 31 (4), 2022
42022
Towards global spaceborne lidar biomass: Developing and applying boreal forest biomass models for ICESat-2 laser altimetry data
A Neuenschwander, L Duncanson, P Montesano, D Minor, E Guenther, ...
Science of Remote Sensing 10, 100150, 2024
12024
A spatially explicit model of litter accumulation in fire maintained longleaf pine forest ecosystems of the Southeastern USA
N Sánchez-López, AT Hudak, L Boschetti, CA Silva, BC Bright, ...
12022
Validation de l'estimation de la hauteur des jeunes peuplements à partir de données LiDAR aériennes
NS López
Université de Lorraine, 2013
12013
Advancing High-Resolution Surface Aboveground Biomass Modeling through Terrestrial Laser Scanning and Machine Learning in a Southeastern US Pine Forest Ecosystem
C Klauberg, G Máximo da Silva, EL Loudermilk, C Stegall Hawley, ...
EGU General Assembly Conference Abstracts, 13503, 2024
2024
Modeling Crown-Bulk Density from Airborne and Terrestrial Laser Scanning Data in a Longleaf Pine Forest Ecosystem
CA Silva, KD Rocha, DN Cosenza, M Moha, C Klauberg, MB Schlickmann, ...
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
2023
Correcting for spatial bias in aboveground biomass estimated at the project level from forest inventory plot datasets contributed by stakeholders using spatially unbiased space …
AT Hudak, C Babcock, N Sanchez-Lopez
2020 ESA Annual Meeting (August 3-6), 2020
2020
Modeled Vs Measured NPP: Are Global Satellite Estimates of Forest NPP Appropriate Across the Terrain of Northern Rocky Mountain Forests?
JM Poe, J Stenzel, N Sanchez Lopez, L Boschetti, TW Hudiburg
AGU Fall Meeting Abstracts 2019, B53J-2535, 2019
2019
Reconstruction of the Stand-Level Disturbance History of a Temperate Coniferous Forest using LiDAR data and Geographic Object-Based Image Analysis (GEOBIA)
NS López
University of Idaho, 2019
2019
A semi-automated LiDAR-GEOBIA methodology for forest even-aged stand delineation based on a two-stage evaluation strategy
NS López, L Boschetti, AT Hudak
GEOBIA 2018-From pixels to ecosystems and global sustainability​, 2018
2018
Mapping of past stand-level forest disturbances and estimation of time since disturbance using simulated spaceborne LiDAR data
N Sanchez Lopez, AT Hudak, L Boschetti
AGU Fall Meeting Abstracts 2017, B13A-1760, 2017
2017
Industrial forest mapping: a Landsat Spatial and Temporal Approach
L Boschetti, LZ Huo, NS Lopez, A Hudak, A Smith, R Keefe
Proceedings Book 7th edition of the International Scientific Conference …, 2017
2017
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