Results 41 to 50 of about 5,793 (300)

Blue Color Indices as a Reference for Remote Sensing of Black Sea Water

open access: yes, 2023
In this paper, we propose to analyze the values of the “blue” color index for further use in additional atmospheric correction of Level 2 remote sensing reflectance data for the waters of the Black Sea.
Evgeny Shybanov   +3 more
core   +1 more source

Bottom Reflectance in Ocean Color Satellite Remote Sensing for Coral Reef Environments

open access: yesRemote Sensing, 2015
Most ocean color algorithms are designed for optically deep waters, where the seafloor has little or no effect on remote sensing reflectance. This can lead to inaccurate retrievals of inherent optical properties (IOPs) in optically shallow water ...
Martina Reichstetter   +5 more
doaj   +1 more source

Corals and Reef‐Dwelling Fish Regulate Carbon Storage and Cycling Processes in Coral Reef Ecosystems

open access: yesAdvanced Science, EarlyView.
Coral reefs are biodiversity hotspots, yet their role in carbon storage and cycling remains poorly understood. Using field surveys and modeling in the South China Sea, we reveal the overlooked potential of carbon storage in reef ecosystems and how reef fish, corals, and surface sediment jointly shape reef carbon reservoirs.
Yiting Chen   +8 more
wiley   +1 more source

Improvement of GOCI-II Water Vapor Absorption Correction through Fusion with GK-2A/AMI Data

open access: yesRemote Sensing, 2023
In remote sensing of the ocean color, in particular, in coarse-resolution global model simulations, atmospheric trace gases including water vapor are generally treated as auxiliary data, which create uncertainties in atmospheric correction.
Kyeong-Sang Lee   +3 more
doaj   +1 more source

Remote Sensing Estimates of Particulate Organic Carbon Sources in the Zhanjiang Bay Using Sentinel-2 Data and Carbon Isotopes

open access: yes, 2023
The source information of coastal particulate organic carbon (POC) with high spatial and temporal resolution is of great significance for the study of marine carbon cycles and marine biogeochemical processes.
Guo Yu   +6 more
core   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban   +13 more
wiley   +1 more source

Spatial metrics in fire ecology: seeking consistency amidst complexity

open access: yesBiological Reviews, EarlyView.
ABSTRACT Technological advances, including remote sensing, have led to a proliferation of metrics used in ecological studies to examine spatial patterns of fire regimes and their ecological effects. Researchers can use many different metrics to analyse spatial variation in both fire events and resulting fire regimes, including fire size, shape ...
Alexander R. Carey   +5 more
wiley   +1 more source

Reconstructing Gap-Free Daily Remote Sensing Reflectance in the Marginal Seas Using the DINEOF Method

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Ocean color remote sensing has provided extensive datasets of various bio-optical parameters, which are essential for studying marine biogeochemical processes and ecosystems. However, factors such as the clouding cover, sun glint, and wide sensor viewing
Shuyan Lang   +4 more
doaj   +1 more source

Satellite estimates of wide-range suspended sediment concentrations in Changjiang (Yangtze) estuary using MERIS data [PDF]

open access: yes, 2010
The Changjiang (Yangtze) estuarine and coastal waters are characterized by suspended sediments over a wide range of concentrations from 20 to 2,500 mg l-1.
Salama, M.S.   +11 more
core   +1 more source

Evaluation of GOCI Remote Sensing Reflectance Spectral Quality Based on a Quality Assurance Score System in the Bohai Sea

open access: yes, 2022
In the application of ocean color remote sensing, remote sensing reflectance spectral (Rrs(λ)) is the most important and basic parameter for the development of bio-optical algorithms.
Yu Zhang   +3 more
core   +1 more source

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