Estimation of vegetation parameter for modeling soil erosion using linear Spectral Mixture Analysis of Landsat ETM data

Autor: Kenji Omasa, Alejandro M. de Asis

Publikováno v: ISPRS Journal of Photogrammetry and Remote Sensing. 62:309-324

Soil conservation planning often requires estimates of soil erosion at a catchment or regional scale. Predictive models such as Universal Soil Loss Equation (USLE) and its subsequent Revised Universal Soil Loss Equation (RUSLE) are useful tools to ge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7281817541a2d65e9f24f9e794d3e5f
https://doi.org/10.1016/j.isprsjprs.2007.05.013

Evaluation and predictability of water erosion based on spectral information analysis.

Autor: Rabah, Z. B., Farah, I. R.

Publikováno v: 2016 2nd International Conference on Advanced Technologies for Signal & Image Processing (ATSIP); 2016, p533-536, 4p

Comparison between several feature extraction/classification methods for mapping complicated agricultural land use patches using airborne hyperspectral data.

Autor: Lu, S., Oki, K., Shimizu, Y., Omasa, K.

Publikováno v: International Journal of Remote Sensing; 2/20/2007, Vol. 28 Issue 5, p963-984, 22p, 2 Color Photographs, 1 Diagram, 4 Charts, 1 Graph, 2 Maps