Mazlan Hashim

TL;DR: This research presents the results of the GIS-based statistical models for generation of landslide susceptibility mapping using geographic information system (GIS) and remote-sensing data for Cameron Highlands area in Malaysia and demonstrated that the SMCE model is better in prediction than AHP, WLC and WLC models.

TL;DR: In this paper, the authors compared the landslide susceptibility mapping models of logistic regression (LR), analytical hierarchy process (AHP) and frequency ratio (FR) applied in the central Zab basin (West Azerbaijan-Iran).

TL;DR: In this paper, the performance characteristics of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) remote sensor, the standard data products, and applications of the most recently developed image processing methods applied to ASTER data as a tool for mapping hydrothermal alteration mineral zones associated with porphyry copper and epithermal gold mineralization and related host-rock lithology.

TL;DR: In this paper, the performance of Principal Component Analysis, band ratio and minimum noise fraction transformation has been evaluated for the visible and near infrared (VNIR) and, shortwave infrared (SWIR) subsystems of ASTER data.

TL;DR: In this paper, the authors evaluated various methods employed to produce seagrass habitat maps using optical and acoustic remote-sensing (RS) techniques coupled with in situ sampling to highlight recent advances and to define areas where potential future research should be focused in the application of RS technologies.