Results 61 to 70 of about 17,569,314 (273)

Satellite based lake bed elevation model of Lake Urmia using time series of Landsat imagery

open access: yes, 2021
Lake bed elevation model of Lake Urmia. In the course of model generation, a time series of the extent of the lake surface was derived from 129 satellite images with different acquisition dates based on the Landsat sensors Thematic Mapper (TM), Enhanced ...
Hassanzadeh, Elmira   +4 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

ASSESSMENT OF A MULTI-SENSOR APPROACH FOR NOISE REMOVAL ON LANDSAT-8 OLI TIME SERIES USING CBERS-4 MUX DATA TO IMPROVE CROP CLASSIFICATION BASED ON PHENOLOGICAL FEATURES

open access: yesRevista Brasileira de Cartografia, 2017
In this work we investigated a method for noise removal on Landsat-8 OLI time series using CBERS-4 MUX data to improve crop classifi cation. An algorithm was built to look to the nearest MUX image for each Landsat image, based on an user defi ned time ...
Hugo do Nascimento Bendini   +5 more
doaj  

Performance of vegetation indices from Landsat time series in deforestation monitoring

open access: yesInternational Journal of Applied Earth Observation and Geoinformation, 2016
Abstract The performance of Landsat time series (LTS) of eight vegetation indices (VIs) was assessed for monitoring deforestation across the tropics. Three sites were selected based on differing remote sensing observation frequencies, deforestation drivers and environmental factors. The LTS of each VI was analysed using the Breaks For Additive Season
Schultz, Michael   +6 more
openaire   +3 more sources

Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data:an assessment of predictions between regions [PDF]

open access: yes, 2012
Quantifying the above ground biomass of tropical forests is critical for understanding the dynamics of carbon fluxes between terrestrial ecosystems and the atmosphere, as well as monitoring ecosystem responses to environmental change.
Foody, G. M.   +3 more
core   +1 more source

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

SAMSTS Satellite Time Series Gap Filling Source Codes - Landsat

open access: yes, 2020
SAMSTS is open-source software (coded in C) for gap filling of Landsat multispectral time series developed by Drs. Lin Yan and David Roy. SAMSTS 1.1.1 release includes source codes, user manual and test data.
Yan, Lin, Roy, David P.
core   +1 more source

Near-Real-Time Monitoring of Insect Defoliation Using Landsat Time Series [PDF]

open access: yesForests, 2017
Introduced insects and pathogens impact millions of acres of forested land in the United States each year, and large-scale monitoring efforts are essential for tracking the spread of outbreaks and quantifying the extent of damage. However, monitoring the impacts of defoliating insects presents a significant challenge due to the ephemeral nature of ...
Pasquarella, Valerie J.   +2 more
openaire   +2 more sources

Wheat yield forecasting based on landsat vegetation indices time series data and reported crop statistics

open access: yes, 2020
Due to increase demand of food grain in the world, assessment of yield before actual production is important in making policies and decision in agricultural production system.
Adeniyi, Odunayo David
core  

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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