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Improved Characterisation of Vegetation and Land Surface Seasonal Dynamics in Central Japan with Himawari-8 Hypertemporal Data
2019
Scientific Reports
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In this study, we evaluated improvements in capturing vegetation seasonal changes with 10-min resolution NDVI data derived from Advanced Himawari Imager (AHI), one of new-generation geostationary satellite ...
With the ability to capture in situ-quality NDVI temporal signatures, AHI "hypertemporal" data have the potential to improve spring and autumn phenology characterisation as well as the classification of ...
L18554 T.M. and S.N.) and the Center for Environmental Remote Sensing (CEReS) Joint Research Program. Himawari-8 gridded data used in this study were distributed by CEReS, Chiba University, Japan. ...
doi:10.1038/s41598-019-52076-x
pmid:31666582
pmcid:PMC6821777
fatcat:u4fktxpjg5fjrimh6xgc4pzhka
Seasonal Comparisons of Himawari-8 AHI and MODIS Vegetation Indices over Latitudinal Australian Grassland Sites
2020
Remote Sensing
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The Advanced Himawari Imager (AHI) on board the Himawari-8 geostationary (GEO) satellite offers comparable spectral and spatial resolutions as low earth orbiting (LEO) sensors such as the Moderate Resolution ...
unfamiliar observation geometries not experienced with MODIS, VIIRS, or Advanced Very High Resolution Radiometer (AVHRR) VI time series data. ...
Acknowledgments: The authors would like to thank Leon Majewski from Australia Bureau of Meteorology for his processing of raw Himawari-8 data. ...
doi:10.3390/rs12152494
fatcat:mqwluvjpdnfdpfmmgbos3zdvfm
Estimating and Monitoring Land Surface Phenology in Rangelands: A Review of Progress and Challenges
2021
Remote Sensing
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Land surface phenology (LSP) has been extensively explored from global archives of satellite observations to track and monitor the seasonality of rangeland ecosystems in response to climate change. ...
and techniques that can be used to better characterize the phenological cycles of vegetation in rangeland ecosystems. ...
Acknowledgments: The authors would like to NRF Project officers Precious Bonsile Nciliba and Andile Mshengu for their administrative support. ...
doi:10.3390/rs13112060
fatcat:7r76xji7gzg7blwo2pq55zqmp4
Toward More Integrated Utilizations of Geostationary Satellite Data for Disaster Management and Risk Mitigation
2021
Remote Sensing
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Imager (ABI), and Meteosat Third Generation (MTG) Flexible Combined Imager (FCI), provide advanced imagery and atmospheric measurements of the Earth's weather, oceans, and terrestrial environments at ...
Third-generation geostationary meteorological satellites (GEOs), such as Himawari-8/9 Advanced Himawari Imager (AHI), Geostationary Operational Environmental Satellites (GOES)-R Series Advanced Baseline ...
PAWR data were provided by Kazuomi Morotomi and Shigeharu Shimamura of Japan Radio Co. Ltd., Japan. The XRAIN data were obtained from DIAS. ...
doi:10.3390/rs13081553
fatcat:r4x5s2aedjayjhq54y2zxde5cu
How did the characteristics of the growing season change during the past 100 years at a steep river basin in Japan?
2021
PLoS ONE
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We assessed the generality and representativeness of the modelled SGS and EGS dates by using phenological events, live camera images taken at multiple points in the basin, and satellite observations made ...
We calculated the dates of the start (SGS) and end of the growing season (EGS) in a steep river basin located in a mountainous region of central Japan over a century timescale by using a degree-day phenological ...
Acknowledgments We thank the Koito-Pottery and Takayama Printing Co, Ltd, for providing live camera images. We thank all members of the Takayama community for their assistance in the field. ...
doi:10.1371/journal.pone.0255078
pmid:34330144
pmcid:PMC8324334
fatcat:xqp4be54pvg65ndywkoxcmqjsi
Current and near-term advances in Earth observation for ecological applications
2021
Ecological Processes
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The suite of instruments we describe measure land surface characteristics, including land cover, but provide a more detailed monitoring of ecosystems, plant communities, and even some species then possible ...
scales from local plots to the whole planet. ...
Acknowledgements Thanks to all the space agencies and their governments for making satellite data widely available through their "free and open" data policies. ...
doi:10.1186/s13717-020-00255-4
pmid:33425642
pmcid:PMC7779249
fatcat:tojcb7xw3reajgwgci46zsuqk4
2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12
2019
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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., and Lopez, J.F ...
Evaluation of HJ-1A/B CCD Surface Reflectance Products Using the VNIR and MODIS-Based Atmospheric Correction Approaches. ...
., +, JSTARS Oct. 2019 3826-3840 Evaluation of HJ-1A/B CCD Surface Reflectance Products Using the VNIR and MODIS-Based Atmospheric Correction Approaches. ...
doi:10.1109/jstars.2020.2973794
fatcat:sncrozq3fjg4bgjf4lnkslbz3u
Knowledge Extracted from Copernicus Satellite Data
2019
Zenodo
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The proposed methodology uses new paradigms from Recurrent Neural Networks and Generative Adversarial Networks, supported by Bayesian and Information Bottleneck concepts. References 1. ...
For doing this, we propose to select overlapping target areas from Synthetic Aperture Radar and multispectral images acquired with rapid succession. ...
One of the most difficult task is to distinguish the glaciers, glaciers lakes and dry from dry land. ...
doi:10.5281/zenodo.3941573
fatcat:zzifwgljifck5bpjnboetsftfu