N Laporte
Biographic Data
| ID | 5764569 |
|---|---|
| NAME | N Laporte |
| GIVEN NAMES | N |
| FAMILY NAME | Laporte |
| SIGNATURE | LAPORTE N |
| AFFILIATIONS | Woodwell Climate Research Center |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2002 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 0 |
Satellite-based primary forest degradation assessment in the Democratic Republic of the Congo, 2000–2010
Primary forest extent, loss and degradation within the Democratic Republic of the Congo (DRC) were quantified from 2000 to 2010 by combining directly mapped forest cover extent and loss data (CARPE) with indirectly mapped forest degradation data (intact forest landscapes, IFL). Landsat data were used to derive both map inputs, and data from the GLAS (Geoscience Laser Altimetry System) sensor were employed to validate the discrimination of primary…
National-scale estimation of gross forest aboveground carbon loss: A case study of the Democratic Republic of the Congo
Recent advances in remote sensing enable the mapping and monitoring of carbon stocks without relying on extensive in situ measurements. The Democratic Republic of the Congo (DRC) is among the countries where national forest inventories (NFI) are either non-existent or out of date. Here we demonstrate a method for estimating national-scale gross forest aboveground carbon (AGC) loss and associated uncertainties using remotely sensed-derived forest …
Reply to Comment on ‘A first map of tropical Africa’s above-ground biomass derived from satellite imagery’
Biomass mapping using satellite imagery is a rapidly evolving field that has been greatly facilitated in recent years by the advent of LiDAR remote sensing coupled with co-located field measurements. The biomass map of Africa that we published in 2008 did not take direct advantage of coincident field and LiDAR measurements, as our more recent efforts have. The criticisms of our earlier map by Mitchard et al (2011 Environ. Res. Lett. 6 049001) are…
A first map of tropical Africa’s above-ground biomass derived from satellite imagery
Observations from the moderate resolution imaging spectroradiometer (MODIS) were used in combination with a large data set of field measurements to map woody above-ground biomass (AGB) across tropical Africa. We generated a best-quality cloud-free mosaic of MODIS satellite reflectance observations for the period 2000–2003 and used a regression tree model to predict AGB at 1 km resolution. Results based on a cross-validation approach show that the…
Der junge Kurt Schumacher 1895-1933
1University of Glamorgan Der junge Kurt Schumacher 1895–1933 VolkerSchober BonnDietz 2000503DM 78
No prominent works on this page.
Der junge Kurt Schumacher 1895-1933
1University of Glamorgan Der junge Kurt Schumacher 1895–1933 VolkerSchober BonnDietz 2000503DM 78
A first map of tropical Africa’s above-ground biomass derived from satellite imagery
Observations from the moderate resolution imaging spectroradiometer (MODIS) were used in combination with a large data set of field measurements to map woody above-ground biomass (AGB) across tropical Africa. We generated a best-quality cloud-free mosaic of MODIS satellite reflectance observations for the period 2000–2003 and used a regression tree model to predict AGB at 1 km resolution. Results based on a cross-validation approach show that the…
Reply to Comment on ‘A first map of tropical Africa’s above-ground biomass derived from satellite imagery’
Biomass mapping using satellite imagery is a rapidly evolving field that has been greatly facilitated in recent years by the advent of LiDAR remote sensing coupled with co-located field measurements. The biomass map of Africa that we published in 2008 did not take direct advantage of coincident field and LiDAR measurements, as our more recent efforts have. The criticisms of our earlier map by Mitchard et al (2011 Environ. Res. Lett. 6 049001) are…
Satellite-based primary forest degradation assessment in the Democratic Republic of the Congo, 2000–2010
Primary forest extent, loss and degradation within the Democratic Republic of the Congo (DRC) were quantified from 2000 to 2010 by combining directly mapped forest cover extent and loss data (CARPE) with indirectly mapped forest degradation data (intact forest landscapes, IFL). Landsat data were used to derive both map inputs, and data from the GLAS (Geoscience Laser Altimetry System) sensor were employed to validate the discrimination of primary…
National-scale estimation of gross forest aboveground carbon loss: A case study of the Democratic Republic of the Congo
Recent advances in remote sensing enable the mapping and monitoring of carbon stocks without relying on extensive in situ measurements. The Democratic Republic of the Congo (DRC) is among the countries where national forest inventories (NFI) are either non-existent or out of date. Here we demonstrate a method for estimating national-scale gross forest aboveground carbon (AGC) loss and associated uncertainties using remotely sensed-derived forest …
Environmental Science (4 works) · Geography (4 works) · Lidar (3 works) · Remote sensing (3 works) · Remote Sensing and LiDAR Applications (3 works) · Biomass (ecology (2 works) · Conservation, Biodiversity, and Resource Management (2 works) · Ecology (2 works) · Forest ecology and management (2 works) · Forestry (2 works)