Google Earth Engine for concurrent flood monitoring in the lower basin of Indo-Gangetic-Brahmaputra plains

Lal, Preet; Prakash, A.; Kumar, Amit

doi:10.1007/s11069-020-04233-z

Cited by 45 publications

(18 citation statements)

References 8 publications

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“…To obtain the occurrence records of 14 species, we downloaded natural collection data from the database of Global Biodiversity Information Facility (GBIF, https://www.gbif.org/ ) and referred to published articles [ 37 , 40 , 41 ]. According to the distribution ranges on the Royal Botanic Gardens (Kew science, http://www.kew.org/science ) and literature by Walker et al [ 37 ], we removed duplicate, fuzzy and neighbouring records and further proofread the latitude and longitude with Google Earth [ 42 ]. The representative localities of 14 species were marked on the World map to show their geographical distribution.…”

Section: Methodsmentioning

confidence: 99%

The biology of medicinal resource substitution in Salvia

et al. 2021

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Background The decrease of wild reserves and the sharp increase of market demand have led to resource substitution, but it is still not clear how to discover medicinal alternative resources. Here we reveal the biology of medicinal resource substitution in the case of Salvia. Methods A hypothesis was put forward that phylogeny and ecology were the main factors which determined alternative species selection. Phylogenetic analysis was performed based on chloroplast genomes. Spatial climatic pattern was assessed through three mathematical models. Results Salvia miltiorrhiza and alternative species were mainly located in Clade 3 in topology, and their growth environment was clustered into an independent group 3 inferred from principal component analysis. Correlation and Maxent major climate factor analyses showed that the ecological variations within each lineage were significantly smaller than the overall divergent between any two lineages. Mantel test reconfirmed the inalienability between phylogeny and ecology (P = 0.002). Only the species that are genetically and ecologically related to S. miltiorrhiza can form a cluster with it. Conclusions Phylogenetic relationship and geographical climate work together to determine which species has the potential to be selected as substitutes. Other medicinal plants can learn from this biology towards developing alternative resources.

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Section: Methodsmentioning

confidence: 99%

The biology of medicinal resource substitution in Salvia

et al. 2021

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“…According to the distribution ranges on the Royal Botanic Gardens (Kew science, http://www.kew.org/science) and literature by Walker et al [43], we removed duplicate, fuzzy and neighbouring records and further proofread the latitude and longitude with Google Earth [44]. The representative localities of 14 species were marked on the World map to show their geographical distribution.…”

Section: Phylogeographic Analysesmentioning

confidence: 99%

The Biology of Medicinal Resource Substitution in Salvia

Cui¹,

Chen²,

Bao-sheng³

et al. 2021

Preprint

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Background: The decrease of wild reserves and the sharp increase of market demand have led to resource substitution, but it is still not clear how to discover medicinal alternative resources. Here we reveal the biology of medicinal resource substitution in the case of Salvia.Methods: A hypothesis was put forward that phylogeny and ecology were the main factors which determined alternative species selection. Phylogenetic analysis was performed based on chloroplast genomes. Spatial climatic pattern was assessed through three mathematical models. Results: S. miltiorrhiza and alternative species were mainly located in Clade 3 in topology, and their growth environment was clustered into an independent group 3 inferred from Principal Component analysis. Correlation and Maxent major climate factor analyses showed that the ecological variations within each lineage were significantly smaller than the overall divergent between any two lineages. Mantel test reconfirmed the inalienability between phylogeny and ecology (P = 0.002). Only the species that are genetically and ecologically related to S. miltiorrhiza can form a cluster with it. Conclusion: Phylogenetic relationship and geographical climate work together to determine which species has the potential to be selected as substitutes. Other medicinal plants can learn from this biology towards developing alternative resources.

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“…Despite the free data availability, the rapid processing services critical for a flood response could not be executed particularly in most of the developing countries due to inadequate systems to support the downloading of huge volume of data, tools for processing the data, and storage space. The preloaded radiometrically calibrated and terrain corrected Sentinel-1 images along with a wide number of geospatial datasets and parallel processing capability offered by Google Earth Engine (GEE) have overcome most of the limitations (Lal et al 2020;Bhatt et al 2021;Singha et al 2020;Uddin et al 2019). Figure 25.11 shows the GEE interface with Sentinel-1 SAR data over Bihar and corresponding flood inundation delineated using GEE script.…”

Section: Open Source Sar Data Tools and Cloud Computing Platforms For Flood Hazard Analysismentioning

confidence: 99%

Application of Active Space-Borne Microwave Remote Sensing in Flood Hazard Management

Bhatt

Thakur

Singh

et al. 2021

Water Science and Technology Library

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Globally, floods are attributed to be one of the leading natural hazards responsible for recurrent major economic losses, population affected, and mortality. The rapid assessment of flood hazard dynamics at regional scale during flood crisis is one of the few elements which is required by the agencies involved on ground for relief and rescue operations. Due to the weather-independent and day and night acquisition capability offered through microwave sensors, space-borne remote sensing for flood hazard management has undergone a paradigm change. Today, globally data from synthetic aperture radar (SAR) has emerged as invaluable source for monitoring flood hazard. From demonstrating the proof of concept in its initial launch campaigns, the SAR technology has matured to be competent enough to provide operational support for major flood disasters. In recent times, the continuously streaming of free SAR datasets from Sentinel-1 mission and together with emergence of advanced cloudbased computing and processing technologies like the Google Earth Engine (GEE), automated, and quasi-real-time flood mapping services have evolved. The future missions like the NISAR in conjunction with Sentinel-1 C-band data will help in providing more accurate and faster response during flood crisis and see application of SAR data grow multi-fold in coming years for flood hazard mitigation. This chapter attempts to provide a broad overview of the active microwave remote sensing for flood hazard studies. The first part of the chapter discusses about the interaction of the SAR signal for flooding in open, vegetated, and urbanized areas, followed by the role of the sensor parameters like the wavelength, polarization, and incidence angle on the backscattering of SAR signal. The latter half of the chapter discusses about the flood mapping techniques, SAR satellite mission contributing to flood hazard mapping, various applications of SAR derived flood hazard information, the Indian nationwide near-real-time (NRT) flood hazard mapping under ISRO DMS program, and the emergence of Web-based cloud computing techniques and open-source data policies revolutionizing the flood hazard mitigation activities.

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Google Earth Engine for concurrent flood monitoring in the lower basin of Indo-Gangetic-Brahmaputra plains

Cited by 45 publications

References 8 publications

The biology of medicinal resource substitution in Salvia

The biology of medicinal resource substitution in Salvia

The Biology of Medicinal Resource Substitution in Salvia

Application of Active Space-Borne Microwave Remote Sensing in Flood Hazard Management

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