Results 171 to 180 of about 11,897 (218)

Hybrid spatiotemporal modeling of nutrient cycling in wetland ecosystems using advanced mapping techniques and machine learning approaches. [PDF]

Sci Rep
Salas EAL, Schrack K, Kumaran SS, Bennett R.   +3 more
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Remotely sensed data contribution in predicting the distribution of native Mediterranean species. [PDF]

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Mahmoud AR, Farahat EA, Hassan LM, Halmy MWA.   +3 more
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A global high resolution coastline database from satellite imagery. [PDF]

Sci Data
Mudiyanselage SD, Dai C, Howat IM, Larour E, Husby E.   +4 more
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Prediction modeling of land surface temperature in relation to land cover dynamics and health risk perception analysis in barishal city of Bangladesh. [PDF]

Sci Rep
Hasan I, Goni O, Katha ZT, Rabby MI, Hossain S, Banik A, Hasan S, Rahman I.   +7 more
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Estimating Corn Canopy Water Content From Normalized Difference Water Index (NDWI): An Optimized NDWI-Based Scheme and Its Feasibility for Retrieving Corn VWC

IEEE Transactions on Geoscience and Remote Sensing, 2021
Here, four normalized difference water index (NDWI) variants, i.e., NDWI(860,970), NDWI(860,1240), NDWI(860,1640), and NDWI(1240,1640) are generated from the corn-oriented PROSAIL radiative transfer model. It is found that, instead of the linear relationship derived in previous studies, corn canopy water content (CWC) is best approximated as an ...
Linna Chai, Shaomin Liu, Shao-Jie Zhao
exaly   +2 more sources

An Adaptive Water Extraction Method from Remote Sensing Image Based on NDWI

Journal of the Indian Society of Remote Sensing, 2011
Water is one of the most common and important objects on the earth, and its extraction is of great significance to many related researches in remote sensing domain. However, water always appears diversely, which makes its extraction not so simple. Many former methods are developed to extract water, which mainly based on a single model and only use ...
Jiancheng Luo, Yongwei Sheng, Dongping Ming   +2 more
exaly   +2 more sources

Domain Adaptation using NDWI index for Water-land Semantic Segmentation

The 2021 3rd International Conference on Big Data Engineering, 2021
Recently, deep-learning based method has achieved great success in remote sensing image segmentation. Deep neural networks for semantic segmentation always require a large number of samples, which becomes a tough problem especially in remote sensing area.
Cheng Gu, Wenxin Hu, Wei Zheng
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Mariculture Zones Extraction Using NDWI and NDVI

Advanced Materials Research, 2013
On the analysis of spectral characteristics of Aoshan remote sensing images, we find the spectral differences between mariculture zones and other surface features. This paper combines normalized difference water index with mariculture zones distribution planning to complete the extraction and the statistics of the mariculture zones, in order to ...
Hong Jun Pan, Xue Xian Li, Guang Wei Wang, Chong Song Qi   +3 more
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A compression algorithm that preserves NDVI and NDWI values

Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136), 2002
Possible solutions to the problem of compression subject to multiple distortion constraints are presented. The approaches are applied to the compression of LANDSAT data.
H.H. Otu, K. Sayood
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