Abrams, M.2000: The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER): data products for the high spatial resolution imager on NASA’s Terra platform. International Journal of Remote Sensing21, 847-860.
2.
Achard, F., Eva, H. and Mayaux, P.2001: Tropical forest mapping from course spatial resolution satellite data: production and accuracy assessment issues. International Journal of Remote Sensing22, 2141-2162.
3.
Allen, T. R. and Kupfer, J. A.2000: Application of spherical statistics to change vector analysis of landsat data in southern Appalachian spruce-fir forests. Remote Sensing of Environment74, 482-493.
4.
Borak, J. S., Lambin, E. F. and Strahler, A. H.2000: The use of temporal metrics for land cover change detection at course spatial scales. International Journal of Remote Sensing21, 1415-1432.
5.
Coops, N. C. and Waring, R. H.2001: The use of multiscale remote sensing imagery to derive regional estimates of forest growth capacity using 3-PGS. Remote Sensing of Environment75, 324-334.
6.
DeFries, R. S. and Belward, A. S.2000: Global and regional land cover characterisation from satellite data: an introduction to the special issue. International Journal of Remote Sensing21, 1083-1092.
7.
DeFries, R. S., Hansen, M. C. and Townshend, J. R. G.2000: Global continuous fields of vegetation characteristics: a linear mixture model applied to multi-year 8 km AVHRR data. International Journal of Remote Sensing21, 1389-1414.
8.
Dwyer, E., Pinnock, S. and Gregoire, J.-M.2000: Global spatial and temporal distribution of vegetation fire as determined from satellite observations. International Journal of Remote Sensing21, 1289-1302.
9.
Elmore, A. J., Mustard, J. F., Manning, S. J, and Lobell, D. B.2000: Quantifying vegetation change in semiarid environments precision and accuracy of spectral mixture analysis and the normalized difference vegetation index. Remote Sensing of Environment73, 87-102.
10.
Franco-Lopez, H., Ek, A. R. and Bauer, M. E.2001: Estimation and mapping of forest stand density, volume, and cover type using the k-nearest neighbors method. Remote Sensing of Environment77, 251-274.
11.
Fransson, J. E. S. and Israelsson, H.1999: Estimation of stem volume in boreal forests using ERS-1 C- and JERS-1 L-band SAR data. International Journal of Remote Sensing20, 123-138.
12.
Fransson, J. E. S., Smith, G., Askne, J. and Olsson, H.2001: Stem volume estimation in boreal forests using ERS 1,2 coherence and SPOT XS optical data. International Journal of Remote Sensing22, 2777-2791.
13.
Gemmell, F. and McDonald, A. J.2000: View zenith angle effects on the forest information content of three spectral indices. Remote Sensing of Environment72, 139-158.
14.
Gemmell, F., Varjo, J. and Strandstrom, M.2001: Estimating forest cover in a boreal forest test site using thematic mapper data from two dates. Remote Sensing of Environment77, 197-211.
15.
Intergovernmental Panel on Climate Change2000: Land use, land-use change, and forestry: summary for policymakers. Published for the Intergovernmental Panel on Climate Change. Geneva: IPCC.
16.
Janetos, A. C. and Justice, C. O.2000: Land cover and global productivity: a measurement strategy for the NASA programme. International Journal of Remote Sensing21, 1491-1512.
17.
Jensen, J. R.2000: Remote sensing of the environment: an Earth resource perspective. Englewood Cliffs NJ: Prentice Hall.
18.
Katila, M. and Tomppo, E.2001: Selecting estimation papameters for the Finnish multi-source National Forest Inventory. Remote Sensing of Environment76, 16-32.
19.
Key, T., Warner, T. A., McGraw, J. B. and Fajvan, M. A.2001: A comparison of multispectral and multitemporal information in high spatial resolution imagery for classification of individual tree species in a termperate hard-wood forest. Remote Sensing of Environment75, 100-112.
20.
Kilpeläinen, P. and Tokola, T.1999: Gain to be achieved from stand delineation in Landsat TM image-based estimates of stand volume. Forest Ecology and Management124, 105-111.
21.
Lucas, R. M., Honzak, M., Curran, P. J., Foody, G. M. and Nguele, D. T.2000a: Characterizing tropical forest regeneration in Cameroon using NOAA AVHRR data. International Journal of Remote Sensing21, 2831-2854.
22.
Lucas, R. M., Honzak, M., Curran, P. J., Foody, G. M., Milne, R., Brown, T. and Amaral, S.2000b: Mapping the regional extent of tropical forest regeneration stages in the Brazilian Legal Amazon using NOAA AVHRR data. International Journal of Remote Sensing21, 2855-2881.
23.
Luckman, A., Baker, J. and Wegmüller, U.2000: Repeat-pass interferometric coherence measurements of disturbed tropical forest from JERS and ERS satellites. Remote Sensing of Environment73, 350-360.
24.
Lunetta, R. and Elvidge, C.2000: Remote sensing change detection: environmental monitoring methods and applications. London: Taylor and Francis.
25.
Mäkelä, H. and Pekkarinen, A.2001: Estimation of timber volume at the sample plot level by means of image segmentation and Landsat TM imagery. Remote Sensing of Environment77, 66-75.
26.
Mayaux, P., De Grandi, G. and Malingreau, J-P.2000: Central African forest cover revisited. A multisatellite analysis. Remote Sensing of Environment 71, 183-96 Milich, L. and Weiss, E. 2000: a GAC NDVI interannual coefficient of variation (CoV) images: ground truth sampling of the Sahel along north-south transects. International Journal of Remote Sensing21, 235-260.
27.
Mayaux, P., De Grandi, G. and Malingreau, J-P.2000b: GAC NDVI images: relationship to rainfall and potential evaporation in the grazing lands of The Gourma (northern Sahel) and in the croplands of the Niger-Nigeria border (southern Sahel). International Journal of Remote Sensing21, 261-280.
28.
Nelson, R., Jimenez, J., Schnell, C. E., Hartshorn, G. S., Gregoire, T. G. and Oderwald, R.2000: Canopy height models and airborne lasers to estimate forest biomass: two problems. International Journal of Remote Sensing21, 2153-2162.
29.
Rango, A., Chopping, M., Ritchie, J., Havstad, K.Kustas, W. and Schmugge, T.2000: Morphological characteristics of shrub coppice dunes in desert grasslands of southern New Mexico derived from scanning LIDAR. Remote Sensing of Environment74, 26-44.
30.
Ranson, K. J., Sun, G., Knox, R. G., Levine, E. R., Weishampel, J. F. and Fifer, S. T.2001: Northern forest ecosystem dynamics using coupled models and remote sensing. Remote Sensing of Environment75, 291-302.
31.
Richards, T., Gallego, J. and Achard, F.2000: Sampling for forest cover change assessment at the pan-tropical scale. International Journal of Remote Sensing21, 1473-1490.
32.
Scarth, P. and Phinn, S.2000: Determining forest structural attributes using an inverted geometric-optical model in mixed Eucalypt forests, southeast Queensland, Australia. Remote Sensing of Environment71, 141-157.
33.
Song, C., Woodcock, C. E., Seto, K. S., Lenney, M. P. and Macomber, S. A.2001: Classification and change detection using landsat tm data when and how to correct atmospheric effects?Remote Sensing of Environment75, 230-244.
34.
Treitz, P. and Howarth, P.2000: High spatial resolution remote sensing data for forest ecosystem classification an examination of spatial scale. Remote Sensing of Environment72, 268-289.
35.
Tucker, C. J. and Townshend, J. G. T.2000: Strategies for monitoring tropical deforestation using satellite data. International Journal of Remote Sensing21, 1461-1472.
36.
Wulder, M., Niemann, K. O. and Goodenough, D. G.2000: Local maximum filtering for the extraction of tree locations and basal area from high spatial resolution imagery. Remote Sensing of Environment73, 103-114.