Results 91 to 100 of about 35,243 (252)

Assessing Causes and Consequences of Winter Surface Water Dynamics in California's Central Valley Using Satellite Remote Sensing

open access: yesJournal of Flood Risk Management
California's Central Valley is increasingly vulnerable to winter floods. A comprehensive spatial baseline of flood extents is critical for inundation analyses that can enhance future flood predictions, but cloud cover has prevented the regular ...
Christine M. Albano   +10 more
doaj   +1 more source

Characterizing Changes in Paddy Rice Flooding Time over the Sanjiang Plain Using Moderate-Resolution Imaging Spectroradiometer Time Series

open access: yesRemote Sensing
Rice is a primary food crop, and rice production ensures food security and maintains social stability with great significance. Flooding paddy rice fields as an important step in rice production affects the entire growth process of rice.
Xiangyu Ning, Huapeng Li, Ruoqi Liu
doaj   +1 more source

Improved Band-to-Band Registration Characterization for VIIRS Reflective Solar Bands Based on Lunar Observations

open access: yesRemote Sensing, 2015
Spectral bands of the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument aboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite are spatially co-registered.
Zhipeng Wang   +2 more
doaj   +1 more source

Retrieval of Green-up Onset Date From MODIS Derived NDVI in Grasslands of Inner Mongolia

open access: yesIEEE Access, 2019
In this paper, moderate resolution imaging spectroradiometer (MODIS) derived normalized difference vegetation index (NDVI) was used to retrieve the onset date of spring phenology in grasslands of Inner Mongolia from 2002 to 2017.
Baolin Wang   +5 more
doaj   +1 more source

Mapping 30-m cotton areas based on an automatic sample selection and machine learning method using Landsat and MODIS images

open access: yesGeo-spatial Information Science
Cotton is one of the most significant cash crops in the world, and it is also the main source of natural fiber for textiles. It is crucial for cotton management to identify the spatiotemporal distribution of cotton planting areas timely and accurately on
Zhuting Tan   +3 more
doaj   +1 more source

A new satellite-based global climatology of dust aerosol optical depth [PDF]

open access: yes, 2020
By mass, dust is the largest contributor to global aerosol burden, yet long-term observational records of dust, particularly over the ocean, are limited.
Evan, AT, Voss, KK
core  

Sensitivity of cirrus bidirectional reflectance to vertical inhomogeneity of ice crystal habits and size distributions for two Moderate‐Resolution Imaging Spectroradiometer (MODIS) bands [PDF]

open access: bronze, 2001
Ping Yang   +9 more
openalex   +1 more source

Enhancing global aerosol retrieval from satellite data via deep learning with mutual information estimation

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
Satellite-based data can provide continuous aerosol observations but suffer from significant uncertainties across various regions. Transfer learning improves model generalization, yet its application in atmospheric research remains limited.
Xiaohu Sun, Yong Xue, Lin Sun
doaj  

Comparison of seasonal and spatial variations of albedos from Moderate‐Resolution Imaging Spectroradiometer (MODIS) and Common Land Model [PDF]

open access: bronze, 2003
Lei Zhou   +13 more
openalex   +1 more source

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