Comparison of Hyperspectral Atmospheric Correction Algorithms for Precise Mapping of Rice Crop-Reference-Cited by-同舟云学术

Comparison of Hyperspectral Atmospheric Correction Algorithms for Precise Mapping of Rice Crop

Published:2021-09-03 Issue: Volume: Page:879-894
ISSN:2366-2557
Container-title:Lecture Notes in Civil Engineering
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Author:

Vivek Balla,Bhojaraja B. E.,Shetty Amba

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2826-9_55

Reference12 articles.

1. Linares (2002) African rice (Oryza glaberrima): History and future potential. Proc Nat Acad Sci 99(25):16360–16365

2. Kuenzer C, Knauer K (2012) Remote sensing of rice crop areas. Int J Remote Sens 34(6):2101–2139

3. Moharana S, Dutta S (2014) Hyperspectral remote sensing of paddy crop using in-situ measurement and clustering technique. The international archives of the photogrammetry, vol XL-8, 2014 ISPRS technical commission VIII symposium, 09–12

4. Elena (2018) Top 10 Largest rice producing states in India. Trendrr

5. FAO (2004) Addressing marketing and processing constraints that inhibit Agri-food experts: a guide for policy analysts and planners. In: FAO Agricultural service Bulletin 160, Rome, Italy

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