Results 91 to 100 of about 51,471,999 (204)

Estimating Land Surface Temperature from Satellite Passive Microwave Observations with the Traditional Neural Network, Deep Belief Network, and Convolutional Neural Network

Remote Sensing, 2020
Neural networks, especially the latest deep learning, have exhibited good ability in estimating surface parameters from satellite remote sensing. However, thorough examinations of neural networks in the estimation of land surface temperature (LST) from ...
Shaofei Wang, Ji Zhou, Tianjie Lei, Hua Wu, Xiaodong Zhang, Jin Ma, Hailing Zhong   +6 more
doaj   +1 more source

Evaluation of AMSR-E Thin Ice Thickness Algorithm from a Mooring-Based Observation: How Can the Satellite Observe a Sea Ice Field with Nonuniform Thickness Distribution?

Journal of Atmospheric and Oceanic Technology, 2019
The quantification of sea ice production in coastal polynyas is a key issue to understand the global climate system. In this study, we directly compared Advanced Microwave Scanning Radiometer-EOS (AMSR-E) data with the sea ice thickness distribution ...
Haruhiko Kashiwase, K. Ohshima, Y. Fukamachi, Sohey Nihashi, T. Tamura   +4 more
semanticscholar   +1 more source

Global Climate Monitoring with the EOS PM-Platform's Advanced Microwave Scanning Radiometer (AMSR-E)

, 2002
The Advanced Microwave Scanning 2 Radiometer (AMSR-E) is being built by NASDA to fly on NASA's PM Platform (now called Aqua) in December 2000. This is in addition to a copy of AMSR that will be launched on Japan's ADEOS-II satellite in 2001.
Spencer, Roy W.
core  

An investigation on the feasibility of applying MODIS snow cover products in cloudy weather by the employment of its integration with microwave images [PDF]

تحقیقات کاربردی علوم جغرافیایی, 2015
Variation of snow cover area (SCA) in small to large scale catchment can be studied using MODIS snow products on daily to montly time step since the year 2000.
majid vazifedoust, nima fayaz, shahab araghinejad   +2 more
doaj  

Soil moisture estimates from AMSR-E brightness temperatures by using a dual-frequency algorithm

, 2006
This paper investigates the possibility of estimating the soil moisture content on a global scale from dual-frequency (C- and X-bands) microwave data of the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E).
G Macelloni, E Santi, Paloscia S
core  

Using machine learning techniques to reconstruct the signal observed by the GRACE mission based on AMSR-E microwave data

Miscellanea Geographica: Regional Studies on Development
This study delves into the synergy between remote sensing and satellite gravimetry, focusing on the utilization of Advanced Microwave Scanning Radiometer (AMSR-E) data for modeling delta Total Water Storage (ΔTWS) values derived from the GRACE mission ...
Szabó Viktor, Osińska-Skotak Katarzyna, Olszak Tomasz   +2 more
doaj   +1 more source

Evaluation of the Surface Water Distribution in North-Central Namibia Based on MODIS and AMSR Series

Remote Sensing, 2014
Semi-arid North-central Namibia has high potential for rice cultivation because large seasonal wetlands (oshana) form during the rainy season. Evaluating the distribution of surface water would reveal the area potentially suitable for rice cultivation ...
Hiroki Mizuochi, Tetsuya Hiyama, Takeshi Ohta, Kenlo N. Nasahara   +3 more
doaj   +1 more source

VALIDATION OF AMSR-E ICE CONCENTRATION & THICKNESS IN THE OKHOTSK SEA

Gayana (Concepción), 2004
The data from aircraft and ship campaigns in February 2003 in conjunction with high resolution satellite images for validating sea ice concentrations and thickness derived from AMSR-E brightness temperatures are presented. Patrol Vessel "SOYA" conducted time series observations of sea ice parameters such as ice type, floe size, snow thickness, density,
Nishio, Fumihiko, Comiso, Josefino C., Nakayama, Masashige, Gasiewski, Al   +3 more
openaire   +3 more sources

Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopting the Microwave Vegetation Index

Remote Sensing, 2017
This study presents a back propagation neural network (BPNN) method to rebuild a global and long-term soil moisture (SM) series, adopting the microwave vegetation index (MVI).
Panpan Yao, Jiancheng Shi, Tianjie Zhao, Hui Lu, Amen Al-Yaari   +4 more
doaj   +1 more source

Estimation of Land Surface Temperature through Blending MODIS and AMSR-E Data with the Bayesian Maximum Entropy Method

Remote Sensing, 2016
Land surface temperature (LST) plays a major role in the study of surface energy balances. Remote sensing techniques provide ways to monitor LST at large scales.
Xiao-Kang Kou, Ling-Mei Jiang, Yan-Chen Bo, Shuang Yan, L. Chai   +4 more
semanticscholar   +1 more source