Seuraa
Dr Pedro Rodriguez-Veiga
Dr Pedro Rodriguez-Veiga
Vahvistettu sähköpostiosoite verkkotunnuksessa leicester.ac.uk
Nimike
Viittaukset
Viittaukset
Vuosi
The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations, Earth Syst. Sci. Data, 13, 3927–3950
M Santoro, O Cartus, N Carvalhais, DMA Rozendaal, V Avitabile, A Araza, ...
181*2021
Quantifying forest biomass carbon stocks from space
P Rodríguez-Veiga, J Wheeler, V Louis, K Tansey, H Balzter
Current Forestry Reports 3, 1-18, 2017
1252017
Magnitude, spatial distribution and uncertainty of forest biomass stocks in Mexico
P Rodríguez-Veiga, S Saatchi, K Tansey, H Balzter
Remote Sensing of Environment 183, 265-281, 2016
1162016
Forest biomass retrieval approaches from earth observation in different biomes
P Rodríguez-Veiga, S Quegan, J Carreiras, HJ Persson, JES Fransson, ...
International Journal of Applied Earth Observation and Geoinformation 77, 53-68, 2019
992019
Predicting scenic beauty of forest stands in Catalonia (North-east Spain)
E Blasco, JR González-Olabarria, P Rodriguéz-Veiga, T Pukkala, ...
Journal of Forestry Research 20, 73-78, 2009
642009
A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps
A Araza, S De Bruin, M Herold, S Quegan, N Labriere, P Rodriguez-Veiga, ...
Remote Sensing of Environment 272, 112917, 2022
572022
Airborne S-band SAR for forest biophysical retrieval in temperate mixed forests of the UK
RK Ningthoujam, H Balzter, K Tansey, K Morrison, SCM Johnson, ...
Remote Sensing 8 (7), 609, 2016
382016
Woody aboveground biomass mapping of the brazilian savanna with a multi-sensor and machine learning approach
PC Bispo, P Rodríguez-Veiga, B Zimbres, S do Couto de Miranda, ...
Remote Sensing 12 (17), 2685, 2020
362020
Risks to carbon storage from land-use change revealed by peat thickness maps of Peru
A Hastie, EN Honorio Coronado, J Reyna, ETA Mitchard, CM Åkesson, ...
Nature Geoscience 15 (5), 369-374, 2022
352022
Mapping the stock and spatial distribution of aboveground woody biomass in the native vegetation of the Brazilian Cerrado biome
B Zimbres, P Rodriguez-Veiga, JZ Shimbo, P da Conceição Bispo, ...
Forest Ecology and Management 499, 119615, 2021
232021
Non-parametric retrieval of aboveground biomass in Siberian Boreal Forests with ALOS PALSAR interferometric coherence and backscatter intensity
MA Stelmaszczuk-Górska, P Rodriguez-Veiga, N Ackermann, C Thiel, ...
Journal of Imaging 2 (1), 1, 2015
222015
Investigating spatial error structures in continuous raster data
N Tsutsumida, P Rodríguez-Veiga, P Harris, H Balzter, A Comber
International Journal of Applied Earth Observation and Geoinformation 74 …, 2019
192019
Near real-time change detection system using Sentinel-2 and machine learning: A test for Mexican and Colombian forests
AM Pacheco-Pascagaza, Y Gou, V Louis, JF Roberts, P Rodríguez-Veiga, ...
Remote Sensing 14 (3), 707, 2022
182022
Improved multi-sensor satellite-based aboveground biomass estimation by selecting temporally stable forest inventory plots using NDVI time series
M Urbazaev, C Thiel, M Migliavacca, M Reichstein, P Rodriguez-Veiga, ...
Forests 7 (8), 169, 2016
162016
Past decade above-ground biomass change comparisons from four multi-temporal global maps
A Araza, M Herold, S De Bruin, P Ciais, DA Gibbs, N Harris, M Santoro, ...
International Journal of Applied Earth Observation and Geoinformation 118 …, 2023
102023
Pyeo: A Python package for near-real-time forest cover change detection from Earth observation using machine learning
JF Roberts, R Mwangi, F Mukabi, J Njui, K Nzioka, JK Ndambiri, PC Bispo, ...
Computers & Geosciences 167, 105192, 2022
102022
Risks to carbon storage from land-use change revealed by peat thickness maps of Peru. Nat. Geosci. 15, 369–374
A Hastie, EN Honorio Coronado, J Reyna, ETA Mitchard, CM Akesson, ...
102022
Carbon stocks and fluxes in Kenyan forests and wooded grasslands derived from earth observation and model-data fusion
P Rodríguez-Veiga, J Carreiras, TL Smallman, JF Exbrayat, J Ndambiri, ...
Remote Sensing 12 (15), 2380, 2020
92020
Methodology for regional to global mapping of aboveground forest biomass: Integrating forest allometry, ground plots, and satellite observations
PR Veiga, S Saatchi, J Wheeler, K Tansey, H Balzter
Earth Observation for Land and Emergency Monitoring, 5-32, 2017
52017
Aboveground Biomass Mapping in Krasnoyarsk Kray (Central Siberia) using Allometry, Landsat, and ALOS PALSAR
P Rodriguez-Veiga, M Stelmaszczuk-Górska, C Hüttich, C Schmullius, ...
Proceedings of the RSPSoc Annual Conference; Remote Sensing and …, 2014
52014
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20