Results 91 to 100 of about 13,861,689 (336)

Landsat-8/OLI configuration for each spectral band (Barsi et al., 2014).

open access: yes, 2020
Landsat-8/OLI configuration for each spectral band (Barsi et al., 2014).
Daniel Andrade Maciel (8595834)   +11 more
core   +1 more source

Spatiotemporal Interactions of Land Use Change, Land Surface Temperature, and Vegetation Dynamics in China's Caohai National Nature Reserve

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Understanding the spatiotemporal dynamics of land use change (LUC), land surface temperature (LST), and vegetation indices is critical for assessing ecological changes and informing sustainable land management. This study investigates the long‐term interrelationships between LUC, LST, and vegetation indices in China's Caohai National Nature ...
Yin Su, Ran Liu, Jie Liu, Xiaohui Xue
wiley   +1 more source

Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy

open access: yes, 2018
The present study focuses on determining the relationship of estimated land surface temperature (LST) with normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI) for Florence and Naples cities in Italy using Landsat
S. Guha, H. Govil, A. Dey, N. Gill
semanticscholar   +1 more source

Evaluation of Methods for Estimating Lake Surface Water Temperature Using Landsat 8

open access: yesRemote Sensing, 2022
Changes in lake water temperature, observed with the greatest intensity during the last two decades, may significantly affect the functioning of these unique ecosystems.
K. Dyba   +4 more
semanticscholar   +1 more source

Fusion of Landsat 8 OLI and Sentinel-2 MSI Data [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2017
Sentinel-2 is a wide-swath and fine spatial resolution satellite imaging mission designed for data continuity and enhancement of the Landsat and other missions. The Sentinel-2 data are freely available at the global scale, and have similar wavelengths and the same geographic coordinate system as the Landsat data, which provides an excellent opportunity
Qunming Wang   +6 more
openaire   +3 more sources

Future Soil Erosion Under Combined CMIP6 Climate Projections and Land Use/Land Cover Change: A RUSLE‐Based Assessment of the Kampe Omi Dam Basin in Nigeria

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Soil erosion remains a major environmental challenge in Nigeria, driven by the combined effects of climate variability and land use/land cover (LULC) changes. Understanding future dynamics is essential for effective soil conservation planning.
Titus Adeyemi Alonge   +3 more
wiley   +1 more source

Pemetaan Tingkat Kekeringan Berdasarkan Parameter Indeks TVDI Data Citra Satelit Landsat-8 (Studi Kasus : Provinsi Jawa Timur)

open access: yesJurnal Teknik ITS, 2017
Kekeringan merupakan salah satu bencana yang sering terjadi di berbagai daerah di Indonesia. Kekeringan erat hubungannya dengan ketidakseimbangan antara kebutuhan dan pasokan air.
Diah Witarsih
doaj  

Landsat 8 Virtual Orange Band for Mapping Cyanobacterial Blooms

open access: yesRemote Sensing, 2020
The Landsat 8 Operational Land Imager (OLI) has a panchromatic band (503−676 nm) that can be used to derive a novel virtual orange band (590−635 nm) by using the multispectral green band and red band components.
Abhishek Kumar   +2 more
doaj   +1 more source

Topographic and Climatic Determinants of Soil Organic Carbon Across Landscapes: A Meta‐Analysis

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT The soil is the greatest natural store of organic carbon, holding between 1500 to 1550 Pg C of organic carbon at the top 100 cm of the soil globally—roughly twice the carbon pool in the atmosphere. The spatial distribution of this stock is controlled by a complex chain of controls: topographic position regulates the hydrological redistribution,
Vishal Sharma   +8 more
wiley   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li   +5 more
wiley   +1 more source

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