Petroleum extraction, transportation, and consumption in the marine environment contribute to a large portion of anthropogenic oil spills into ocean. While previous research focuses more on spill accidents from tankers or offshore platforms, there are few systematic records occasional regional spills. In this study, optical imagery Landsat-8 OLI was used detect slicks ocean surface through spat...

Abstract The pigment chlorophyll-a (Chl-a) is used to evaluate aquatic ecological health. Using remote sensing techniques estimate this and spatially mapping its distribution becomes essential for measuring assessing water quality in coastal areas. Nha Trang Bay famous not only scenery but also biodiversity values, especially the existence of coral reefs. In study, Landsat-8 OLI was taken on Ju...

Remote monitoring of trophic state for inland waters is a hotspot water quality studies worldwide. However, the complex optical properties limit potential algorithms. This research aims to develop an algorithm estimate in waters. First, turbid index was applied determination types on each pixel, and bodies are divided into two categories: algae-dominated (Type I) II). The algal biomass (ABI) th...

Information on the distribution, area and extent of swidden agriculture landscape is necessary for implementing the program of Reducing Emissions from Deforestation and Forest Degradation (REDD), biodiversity conservation and local livelihood improvement. To our knowledge, explicit spatial maps and accurate area data on swidden agriculture remain surprisingly lacking. However, this traditional ...

Assessment and mapping of soil salinity using electromagnetic induction Landsat 8 OLI remote sensing data in an irrigated olive orchard under semi-arid conditions | Mohamed Elhedi Gharsallah, Hamouda Aichi, Talel Stambouli, Zouhair Ben Rabah, Habib Hassine Agricultural Journals

The GaoFen-4 (GF-4), launched at the end of December 2015, is China’s first high-resolution geostationary optical satellite. A panchromatic and multispectral sensor (PMS) is onboard the GF-4 satellite. Unfortunately, the GF-4 has no onboard calibration assembly, so on-orbit radiometric calibration is required. Like the charge-coupled device (CCD) onboard HuanJing-1 (HJ) or the wide field of vie...

The objective of this study was to evaluate the separability potential Sentinel-2A (MultiSpectral Instrument, MSI) and Landsat (Operational Land Imager, OLI Thermal Infrared Sensor, TIRS) derived indices for detecting small-extent (<25 ha) forest fires areas severity degrees. Three remote sensing [differenced Normalized Burn Ratio (dNBR), differenced Different Vegetation Index (dNDVI), surfa...

This work develops a method to compare the radiometric calibration between a radiometer and imagers hosted on aircraft and satellites. The radiometer is the airborne Research Scanning Polarimeter (RSP), which takes multi-angle, photo-polarimetric measurements in several spectral channels. The RSP measurements used in this work were coincident with measurements made by the Airborne Visible/Infra...

Suomi NPP VIIRS SWIR band M11 (2.25 μm) has larger radiometric uncertainty compared to the rest of the reflective solar bands. This is due to a number of reasons including prelaunch calibration uncertainties. One of the most commonly used technique to verify the radiometric stability and accuracy of VIIRS is by intercomparing it with other well calibrated radiometers such as MODIS. However one ...

Quantifying biomass consumption and carbon release is critical to understanding the role of fires in the carbon cycle and air quality. We present a methodology to estimate the biomass consumed and the carbon released by the California Rim fire by integrating postfire airborne LiDAR and multitemporal Landsat Operational Land Imager (OLI) imagery. First, a support vector regression (SVR) model wa...