Results 41 to 50 of about 13,861,689 (336)
Jurnal Ilmiah Platax, 2022 Mangrove is one of the objects that can be identified by remote sensing technology using satellite imagery. Analysis of the distribution and density of mangrove vegetation using Landsat 8 imagery was carried out in Bolaang Mongondow Timur, North ...
Simon I. Patty +3 more
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Remote Sensing, 2023 Currently, climate change requires the quantification of carbon stored in forest biomass. Synthetic aperture radar (SAR) data offers a significant advantage over other remote detection measurement methods in providing structural and biomass-related ...
Edward A. Velasco Pereira +3 more
semanticscholar +1 more source
Remote Sensing, 2022 Accurate estimation of forest above-ground biomass (AGB) is critical for assessing forest quality and carbon stocks, which can improve understanding of the vegetation growth processes and the global carbon cycle.
Fugen Jiang +5 more
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Environmental Earth Sciences, 2023 The present work reveals the potential of Landsat 8 and ASTER imagery in the lithological discrimination and structural lineaments extraction in the Tiwit region (Jbel Saghro).
Anass Marzouki, A. Dridri
semanticscholar +1 more source
Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery
Remote Sensing of Environment, 2020 Dense time series of Landsat 8 and Sentinel-2 imagery are creating exciting new opportunities to monitor, map, and characterize temporal dynamics in land surface properties with unprecedented spatial detail and quality.
D. K. Bolton +5 more
semanticscholar +1 more source
Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data
J. Sensors, 2016 Land surface temperature is an important factor in many areas, such as global climate change, hydrological, geo-/biophysical, and urban land use/land cover.
U. Avdan, Gordana Jovanovska
semanticscholar +1 more source
Remote Sensing, 2022 The PRISMA satellite is equipped with an advanced hyperspectral Earth observation technology capable of improving the accuracy of quantitative estimation of bio-geophysical variables in various Earth Science Applications and in particular for soil ...
N. Mzid +5 more
semanticscholar +1 more source
Evaluation of Landsat 8-like Land Surface Temperature by Fusing Landsat 8 and MODIS Land Surface Temperature Product [PDF]
Processes, 2021 High-spatiotemporal-resolution land surface temperature (LST) is a crucial parameter in various environmental monitoring. However, due to the limitation of sensor trade-off between the spatial and temporal resolutions, such data are still unavailable. Therefore, the generation and verification of such data are of great value.
Li, Shenglin +4 more
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Jurnal Geosains dan Remote Sensing, 2022 Kekeringan pada lahan pertanian merupakan kondisi berkurangnya kandungan air dalam tanah sehingga tidak mampu memenuhi kebutuhan tanaman tertentu dalam periode tertentu.
Agung Mahadi Putra Perdana +4 more
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Remote Sensing, 2022 Thermal infrared (TIR) satellite imagery collected by multispectral scanners is important to map land surface temperature on a global scale. However, the TIR spectral bands are typically available in coarser spatial resolution than other multispectral ...
Katarína Onačillová +5 more
semanticscholar +1 more source