PERABIAKAN ALGORITMA SUHU PERMUKAAN LAUT LANDSAT 8 UNTUK PERAIRAN PONELO

Landsat-8 Sensor Characterization and Calibration

1 NASA/GSFC, Code 618, Greenbelt, MD 20771, USA; E-Mail: [email protected]; Tel.: +1-301-614-6608 2 Stinger Ghaffarian Technologies (SGT), Technical Support Services Contractor to USGS EROS, NASA/GSFC Mail Code 618, Greenbelt, MD 20771, USA; E-Mail: [email protected]; Tel.: +1-301-614-6683 3 USGS Earth Resources Observation and Science (EROS) Center, 47914 252nd Street, Sioux Falls...

Near Real-Time Browsable Landsat-8 Imagery

The successful launch and operation of Landsat-8 extends the remarkable 40-year acquisition of space-based land remote-sensing data. To respond quickly to emergency needs, real-time data are directly downlinked to 17 ground stations across the world on a routine basis. With a size of approximately 1 Gb per scene, however, the standard level-1 product provided by these stations is not able to se...

Potential of Landsat-8 spectral indices to estimate forest biomass

Forest ecosystems are among the largest terrestrial carbon reservoirs on our planet earth thus playing a vital role in global carbon cycle. Presently, remote sensing techniques provide proper estimates of forest biomass and quantify carbon stocks. The present study has explored Landsat-8 sensor product and evaluated its application in biomass mapping and estimation. The specific objectives were...

Characterization of Landsat - 7 to Landsat - 8 reflective wavelength and 1 normalized difference vegetation index continuity

Landsat 8 vs. Landsat 5: A comparison based on urban and peri-urban land cover mapping

An image dataset from the Landsat OLI spaceborne sensor is compared with the Landsat TM in order to evaluate the excellence of the new imagery in urban landcover classification. Widely known pixel-based and object-based image analysis methods have been implemented in this work like Maximum Likelihood, Support Vector Machine, k-Nearest Neighbor, Feature Analyst and Sub-pixel. Classification resu...