Results 71 to 80 of about 2,864,751 (144)

Acknowledgement to Reviewers of Remote Sensing in 2013

, 2014
The publisher and editors of the Remote Sensing would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2013 for Remote ...
Remote Sensing Editorial Office
core   +1 more source

STUDY ON THE PRODUCTION COST PRICING MODEL OF QUANTITATIVE REMOTE SENSING PRODUCTS

, 2015
Since the forming of sustainable business models of remote-sensing products and services will be an inevitable development trend, it is necessary to design the specific and rational pricing model for quantitative remote sensing products (QRSPs). Based on
Jiao, Jian, Zeng, Qiming, Fan, Ruiyan, Jian Jiao, Lin Shen, Ruiyan Fan, Shen, Lin, Qiming Zeng   +7 more
core   +1 more source

The Application of Remote Sensing Techniques in Ecological Environment Monitoring

Highlights in Science Engineering and Technology
As global environmental challenges continue to escalate, remote sensing technology has become an indispensable tool for researching, monitoring, and managing these issues.
Z. Jiao
semanticscholar   +1 more source

Integrating Remote Sensing and Street View Images to Quantify Urban Forest Ecosystem Services

Remote Sensing, 2020
There is an urgent need for holistic tools to assess the health impacts of climate change mitigation and adaptation policies relating to increasing public green spaces.
E. Barbierato, I. Bernetti, I. Capecchi, Claudio Saragosa   +3 more
semanticscholar   +1 more source

Acknowledgement to Reviewers of Remote Sensing in 2017

, 2018
Peer review is an essential part in the publication process, ensuring that Remote Sensing maintains high quality standards for its published papers.[...
Remote Sensing Editorial Office
core   +1 more source

Optical Properties of Near-Surface Cloud Layers and Their Interactions with Aerosol Layers: A Case Study of Australia Based on CALIPSO

Atmosphere
This study utilized Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite level-2 data with high-confidence cloud–aerosol discrimination (|CAD| > 70) to investigate the optical properties, vertical distributions, seasonal
Miao Zhang, Yating Zhang, Yingfei Wang, Jiwen Liang, Zilu Yue, Wenkai Song, Ge Han   +6 more
doaj   +1 more source

Acknowledgement to Reviewers of Remote Sensing in 2016

, 2017
The editors of Remote Sensing would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2016.[...
Remote Sensing Editorial Office
core   +1 more source

Announcement: Remote Sensing 2017 Best Guest Editor Award

, 2018
Guest Editors help invite many high-quality papers for Remote Sensing[...
Remote Sensing Office
core   +1 more source

Announcement: Remote Sensing 2017 Best Reviewer Award Winners

, 2018
Peer review is an essential part of the publication process, ensuring that Remote Sensing maintains the high standard of its published papers[...
Remote Sensing Office
core   +1 more source

On the retrieval of sea ice thickness and snow depth using concurrent laser altimetry and L-band remote sensing data

, 2017
. The accurate knowledge of sea ice parameters, including sea ice thickness and snow depth over the sea ice cover, is key to both climate studies and data assimilation in operational forecasts.
Lu Zhou, Shiming Xu, Ji-Ping Liu, Bin Wang   +3 more
semanticscholar   +1 more source