Spatiotemporal Variation in Mangrove Chlorophyll Concentration Using Landsat 8 [PDF]
There is a need to develop indicators of mangrove condition using remotely sensed data. However, remote estimation of leaf and canopy biochemical properties and vegetation condition remains challenging.
Julio Pastor-Guzman +3 more
doaj +4 more sources
Continuity of Top-of-Atmosphere, Surface, and Nadir BRDF-Adjusted Reflectance and NDVI between Landsat-8 and Landsat-9 OLI over China Landscape [PDF]
The successful launch of Landsat-9 marks a significant achievement in preserving the data legacy and ensuring the continuity of Landsat’s calibrated Earth observations.
Yuanheng Sun +5 more
doaj +2 more sources
Validating Digital Earth Australia NBART for the Landsat 9 Underfly of Landsat 8
In recent years, Geoscience Australia has undertaken a successful continental-scale validation program, targeting Landsat and Sentinel analysis-ready data surface reflectance products.
Guy Byrne +13 more
doaj +2 more sources
A tool for global and regional Landsat 7 and Landsat 8 cross-sensor harmonization
The Landsat archive can be used to track long-term landscape and environmental changes. However, substantial differences in atmospheric correction algorithms, radiometric resolution, and spectral response functions suggest that harmonization models ...
Galen Richardson +3 more
doaj +2 more sources
Use of Mercator cartographic representation for Landsat 8 imageries
Nowadays Marine Geographical Information Systems (MGIS) play an essential role in several research activities, the most part of them related to solve Geoscience problems. The nautical maps, containing most of the information used by the marine navigators,
Claudio Meneghini, Claudio Parente
doaj +6 more sources
HOW LANDSAT 9 IS SUPERIOR TO LANDSAT 8: COMPARATIVE ASSESSMENT OF LAND USE LAND COVER CLASSIFICATION AND LAND SURFACE TEMPERATURE [PDF]
This study aims (i) to analyze the performance of Landsat 8 and 9’s multispectral bands in Land Use Land Cover (LULC) mapping by applying Random Forest (RF) method, and (ii) to compare the LST results of Landsat 8 and 9 using ground-based measurements ...
F. Ghasempour +2 more
doaj +1 more source
Land Cover Changes Based on Landsat Imagery Interpretation
This paper presents the use of satellite data (i.e., Landsat-5 & Landsat-8) to interpret the change of land cover from 1997 to 2020. The study area covers the administrative boundary of Lumajang Regency.
Chairiyah Umi Rahayu +4 more
doaj +1 more source
Combining images from multiple Earth Observing (EO) satellites increases the temporal resolution of the data, overcoming the limitations imposed by low revisit time and cloud coverage.
Norvik Voskanian +4 more
doaj +1 more source
Accurate and real-time land use/land cover (LULC) maps are important to provide precise information for dynamic monitoring, planning, and management of the Earth.
V. Nasiri +4 more
semanticscholar +1 more source
Deep Learning Semantic Segmentation for Land Use and Land Cover Types Using Landsat 8 Imagery
Using deep learning semantic segmentation for land use extraction is the most challenging problem in medium spatial resolution imagery. This is because of the deep convolution layer and multiple levels of deep steps of the baseline network, which can ...
Wuttichai Boonpook +8 more
semanticscholar +1 more source

