Spatio-temporal quality distribution of MODIS vegetation collections 5 and 6: implications for forest-non-forest separability-Reference-Cited by-同舟云学术

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Spatio-temporal quality distribution of MODIS vegetation collections 5 and 6: implications for forest-non-forest separability

Published:2019-07-16 Issue:1 Volume:41 Page:373-397
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Panuju Dyah R.¹²,J. Paull David¹,Griffin Amy L.³^ORCID

Affiliation:

1. School of Physical, Environmental and Mathematical Sciences, UNSW Canberra, Canberra, Australia

2. Department of Soil Science and Land Resource, Bogor Agricultural University, Bogor, Indonesia

3. Geospatial Science Discipline, School of Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Australia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1641758

Reference51 articles.

1. An estimation of the optimum temporal resolution for monitoring vegetation condition on a nationwide scale using MODIS/Terra data

2. Detecting long-duration cloud contamination in hyper-temporal NDVI imagery

3. Local Indicators of Spatial Association-LISA

4. Multitemporal ERS-1 SAR Data for Crop Classification: A Sequential-Masking Approach

5. MODIS Cloud-Top Property Refinements for Collection 6

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2. Impact of Aerosols on NPP in Basins: Case Study of WRF−Solar in the Jinghe River Basin;Remote Sensing;2023-04-02

3. Mapping Prominent Cash Crops Employing ALOS PALSAR-2 and Selected Machine Learners;Agriculture, Livestock Production and Aquaculture;2022

4. Change Detection Techniques Based on Multispectral Images for Investigating Land Cover Dynamics;Remote Sensing;2020-06-01

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