Improving the Spatiotemporal Resolution of Soil Moisture through a Synergistic Combination of MODIS and LANDSAT8 Data-Reference-Cited by-同舟云学术

Improving the Spatiotemporal Resolution of Soil Moisture through a Synergistic Combination of MODIS and LANDSAT8 Data

Published:2022-03-30 Issue:6 Volume:36 Page:1813-1832
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Negahbani Sanaz,Momeni Mehdi,Moradizadeh Mina

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11269-022-03108-1.pdf

Reference48 articles.

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2. Akter T, Gazi M-Y, Mia M-B (2021) Assessment of land cover dynamics, land surface temperature, and heat island growth in northwestern Bangladesh using satellite imagery. Environ Process 8:661–690. https://doi.org/10.1007/s40710-020-00491-y

3. Amani M, Parsian S, Mirmazloumi S-M, Aieneh O (2016) Two new soil moisture indices based on the NIR-red triangle space of Landsat-8 data. Int J Appl Earth Obs Geoinf 50:176–186

4. Avdan U, Jovanovska G (2016) Algorithm for automated mapping of land surface temperature using LANDSAT8 satellite data. J Sens 1480307

5. Awais M, Li W, Hussain S, Jejanzeb M, Cheema M, Li W, Song R, Liu C (2022) Comparative Evaluation of Land Surface Temperature Images from Unmanned Aerial Vehicle and Satellite Observation for Agricultural Areas Using In Situ Data. Agriculture 12:184. https://doi.org/10.3390/agriculture12020184

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