Results 51 to 60 of about 1,147 (129)
RELATIONSHIP MODEL BETWEEN NIGHTLIGHT DATA AND FLOOR AREA RATIO FROM HIGH RESOLUTION IMAGES [PDF]
It is a hotpot that extraction the floor area ratio from high resolution remote sensing images. It is a development trend of using nightlight data to survey the urban social and economic information.
M. Yan, L. Xu
doaj +1 more source
A GEO‐LEO Imager Data Set for Characterizing Rapid Changes of Global Aerosol Properties
Abstract Aerosols, the ubiquitous small particulates in our atmosphere, have climate, air quality, and/or other impacts far from their original sources. The Dark Target Algorithm (DTA), originally developed for retrieving aerosol properties from satellite imagers in Low‐Earth Orbit (LEO), has been ported to imagers in Geostationary (GEO) orbit. Using a
R. C. Levy +12 more
wiley +1 more source
Spatial Downscaling of NPP/VIIRS DNB Nighttime Light Data Based on Deep Learning
Global-scale remotely sensed nighttime light (NTL) data, such as the Suomi National Polar-orbiting Partnership with the Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) Day/Night Band (DNB) NTL data, has been widely applied across ...
Weixing Xu +3 more
doaj +1 more source
The Suomi NPP (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) performs the scheduled lunar roll maneuver on a monthly basis. The lunar calibration coefficients and lunar F-factor are calculated by taking the ratio of the lunar observed radiance
Taeyoung Choi +3 more
doaj +1 more source
Abstract Whether surface and deeper water storage trends move in the same direction underpins assessments of freshwater availability. Theory predicts vertical coherence, yet it is untested globally and questioned under climate extremes and human management. Using depth‐sensitive satellite observations spanning surface soil moisture (SSM) (Soil Moisture
Meng Zhao +3 more
wiley +1 more source
Enhancing County-Level GDP Estimation Accuracy With Downscaled NPP-VIIRS Nighttime Light Data
Nighttime light (NTL) data have provided invaluable support for estimating gross domestic product (GDP). However, commonly used global-scale NTL data acquired by the visible infrared imaging radiometer suite (VIIRS) aboard the Suomi National Polar ...
Weihua Lin +3 more
doaj +1 more source
Lake‐breeze fronts (LBFs) strongly influence cloudiness, deep convection, and heavy rainfall around tropical lakes, yet their representation in global forecast systems remains uncertain. Using a newly developed objective detection algorithm, we evaluate LBF evolution and timing in ECMWF forecasts.
Musa Ssemujju +3 more
wiley +1 more source
Color Night-Light Remote Sensing Image Fusion With Two-Branch Convolutional Neural Network
Night-light remote sensing imagery (NLRSI) effectively reflects urban economic and human activities and has important value in the field of remote sensing. However, the applications are limited by their low spatial resolution.
Jie Wang +3 more
doaj +1 more source
Remote Sensing During the 2025 Los Angeles Wildfires
Abstract The January 2025 Los Angeles County wildfires burned more than 50,000 acres, destroyed more than 16,000 structures, and caused 31 deaths. This Commentary examines how NASA's Disasters Program coordinated with response organizations to deliver 22 satellite and airborne products during the fires, even as the Eaton Fire forced the Jet Propulsion ...
Julie Rolla +5 more
wiley +1 more source
The ASTE‐BGC Data‐Assimilative Regional Ocean Biogeochemical Model
Abstract We present a data‐assimilative regional ocean biogeochemical model, ASTE‐BGC, which simulates the physical and biogeochemical state of the North Atlantic Ocean from 2002 to 2017. Model physics are provided by a physical state estimate (ASTE), which assimilates O(109) in situ and satellite‐based observations over the model domain and time ...
L. A. Moseley +5 more
wiley +1 more source

