Deforestation monitoring in tropical regions using multitemporal ERS/JERS SAR and INSAR data

A Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection

“…This leads to a distinct forest/non-forest backscatter contrast, which is much stronger when compared to C-band SAR [40,41]. The main limitation for most tropical countries is the low density of medium resolution C-and L-band SAR observations [42].…”

Management of secondary and logged-over forests in Indonesia: selected proceedings of an international workshop, 17-19 November, 1997

“…The coherence contains information about the geometric stability of the targets between the two acquisition dates. It was shown that through this physical dependence, coherence added to backscatter information can increase the discrimination, for example between clear-cut or plantations and forest areas (Stussi et al 1996;Ribbes et al 1997). However, this discrimination is best when the time interval between the two acquisitions is small, such as during the ERS-1/ERS-2 tandem mission in 1995-96, or during previous 3-day phases of ERS-1.…”

“…Once the forest classes are identified, their extension/ regression or significant modification can be assessed using the same technique. Changes like those occurring as a result of shifting cultivation, intensive logging or large forest fires can be followed to some extent in this way (Grover et al 1995;Malingreau et al 1995a,b;Ribbes et al 1997). Mapping of recent secondary forests is therefore possible by combining radar images acquired before and after the start of logging activities.…”

An End-to-End Error Model for Classification Methods Based on Temporal Change or Polarization Ratio of SAR Intensities

“…3 shows the additional error due to the use of r 0 rather than r opt as a function of the optimal probability of error P E opt found for r opt , with a fixed number of looks L equal to eight and p(B) varying from 0.5 to 0.9 [ Fig. 3 (12) and (9). Therefore, Fig.…”

“…Applications of the TC of SAR intensity between two dates in classification methods include the detection of events such as floods with JERS [7] and ASAR [8], deforestation with ERS-1 and JERS [9] or harrowing in fields using ASAR [10], and the mapping of rice fields with ERS-1 [11] and Radarsat-1 [12]. Classification features based on PR have been extensively demonstrated in a wide range of applications: oil slick detection with Ka-and C-band HH/VV [13]; discrimination of vegetated fields from bare soil with C-band HV/HH and HV/VV [14]; discrimination of broad-leaf crops from small-stem crops with C-band RR/RL [14], where R and L denote right and left circular polarizations; crop classification with C-or L-band HH/HV [15]; rice or wheat fields mapping using C-band HH/VV [16], [17]; and discrimination of multiyear sea ice from first-year sea ice using C-band HV/HH [18].…”