To investigate the potential of using Landsat imagery to detect grassland biophysical conditions, in particular biomass and biodiversity, harvested aboveground biomass and biodiversity were recorded along an ecological gradient in Inner Mongolia Autonomous Region (IMAR), China. Simultaneously vegetation spectral signatures were recorded by an analytical spectral device (ASD) Fieldspec 3 spectro...

Assessing biomass dynamics is highly critical for monitoring ecosystem balance and its response to climate change and anthropogenic activities. In this study, we introduced a direct link between Landsat vegetation spectral indices and ground/airborne LiDAR data; this integration was established to estimate the biomass dynamics over various years using multi-temporal Landsat satellite images. Ou...

Predicting structural organization and biomass of tropical forest from remote sensing observation constitutes a great challenge. We assessed the potential of Fourier-based textural ordination (FOTO) to estimate mangrove forest biomass from very high resolution (VHR) IKONOS images. The FOTO method computes texture indices of canopy grain by performing a standardized principal component analysis ...

This paper examines the correlation between biomass and catchability (q) of yellowfin tuna and the NAO index. Biomass estimates are obtained from a biomass dynamic model fitted to catch and cpue for the period 1950-1999. Several assessment scenarios are investigated. Scenarios are defined by the combination of indices used in the biomass dynamic model and the assumptions made about the variance...

Multi-angle remote sensing can either be regarded as an added source of uncertainty for variable retrieval, or as a source of additional information, which enhances variable retrieval compared to traditional single-angle observation. However, the magnitude of these angular and band effects for forest structure parameters is difficult to quantify. We used the Discrete Anisotropic Radiative Trans...