We delineate an overall performance comparison between the two most popular classification techniques: Pixel-Based and ObjectBased of remote sensing. Object based image analysis has been widely used as a common paradigm in the analysis of high resolution remotely sensed satellite data which is used to extract the meaningful information for updating the GIS data. Both techniques have their own p...

An autonomous surface vehicle instrumented with optical and acoustical sensors was deployed in Kane’ohe Bay, HI, U.S.A., to provide high-resolution, in situ observations of coral reef reflectancewithminimal human presence. The data represented awide range in bottom type, water depth, and illumination and supported more thorough investigations of remote sensing methods for identifying and mappin...

In many arid mountains, dwarf shrubs represent the most important fodder and firewood resources; therefore, they are intensely used. For the Eastern Pamirs (Tajikistan), they are assumed to be overused. However, empirical evidence on this issue is lacking. We aim to provide a method capable of mapping vegetation in this mountain desert. We used random forest models based on remote sensing data ...

Environmental remote sensing is dominated by land use and land cover classifications. Different land cover features reflect electromagnetic radiation in different ways and remotely sensed images provide a basic and synoptic representation of land cover variation on the Earth’s surface. The pixel based analysis has been ‘the holy grail’ for many years. Land-based features may be categorized acco...

To determine suitable indices for vegetation cover and production assessment based on remote sensing data, simultaneous digital data with field data belonged to summer rangeland of southern part of Isfahan province were analyzed. During 2 years of monitoring, annuals, grasses, forbs and shrubs vegetation cover and total production data from sixty 1 square meter plots in each site were collected...

This study estimates CO2 sequestration by forests in Japan using Land Remote Sensing Satellite (Landsat) Operational Land Imager (OLI) and the Advanced Land Observing Satellite (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR) remote sensing data for the in-depth retrieval of forest growth stages (tree age). Landsat imagery was used to develop a detailed forest cover map, while the P...

Publicly available remote sensing products have boosted science in many ways. The openness of these data sources suggests high reproducibility. However, as we show here, results may be specific to versions of the data products that can become unavailable as new versions are posted. We focus on remotely-sensed tree cover. Recent studies have used this public resource to detect multi-modality in ...