Assessing spatiotemporal characteristics of native and invasive species with multi‐temporal remote sensing images in the Yellow River Delta, China

2020 ◽  
Author(s):  
Zhaoning Gong ◽  
Cheng Zhang ◽  
Lei Zhang ◽  
Junhong Bai ◽  
Demin Zhou
Keyword(s):  
Remote Sensing ◽  
Invasive Species ◽  
Yellow River ◽  
Yellow River Delta ◽  
River Delta ◽  
The Yellow River ◽  
Remote Sensing Images ◽  
The Yellow River Delta ◽  
Spatiotemporal Characteristics ◽  
Multi Temporal

scholarly journals Spatiotemporal Changes of Coastline over the Yellow River Delta in the Previous 40 Years with Optical and SAR Remote Sensing

2021 ◽  
Vol 13 (10) ◽  
pp. 1940
Author(s):  
Quantao Zhu ◽  
Peng Li ◽  
Zhenhong Li ◽  
Sixun Pu ◽  
Xiao Wu ◽  
...  
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Human Activities ◽  
Yellow River ◽  
Yellow River Delta ◽  
River Delta ◽  
The Yellow River ◽  
Remote Sensing Images ◽  
The Yellow River Delta ◽  
Spatiotemporal Changes

The integration of multi-source, multi-temporal, multi-band optical, and radar remote sensing images to accurately detect, extract, and monitor the long-term dynamic change of coastline is critical for a better understanding of how the coastal environment responds to climate change and human activities. In this study, we present a combination method to produce the spatiotemporal changes of the coastline in the Yellow River Delta (YRD) in 1980–2020 with both optical and Synthetic Aperture Radar (SAR) satellite remote sensing images. According to the measurement results of GPS RTK, this method can obtain a high accuracy of shoreline extraction, with an observation error of 71.4% within one pixel of the image. Then, the influence of annual water discharge and sediment load on the changes of the coastline is investigated. The results show that there are two significant accretion areas in the Qing 8 and Qingshuigou course. The relative high correlation illustrates that the sediment discharge has a great contribution to the change of estuary area. Human activities, climate change, and sea level rise that affect waves and storm surges are also important drivers of coastal morphology to be investigated in the future, in addition to the sediment transport.

scholarly journals STUDY ON REMOTE SENSING IMAGE CHARACTERISTICS OF ECOLOGICAL LAND: CASE STUDY OF ORIGINAL ECOLOGICAL LAND IN THE YELLOW RIVER DELTA

2018 ◽  
Vol XLII-3 ◽  
pp. 35-38
Author(s):  
G. Q. An
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Vegetation Index ◽  
Yellow River ◽  
Spectral Characteristics ◽  
Texture Features ◽  
Yellow River Delta ◽  
River Delta ◽  
The Yellow River ◽  
The Yellow River Delta

Takes the Yellow River Delta as an example, this paper studies the characteristics of remote sensing imagery with dominant ecological functional land use types, compares the advantages and disadvantages of different image in interpreting ecological land use, and uses research results to analyse the changing trend of ecological land in the study area in the past 30 years. The main methods include multi-period, different sensor images and different seasonal spectral curves, vegetation index, GIS and data analysis methods. The results show that the main ecological land in the Yellow River Delta included coastal beaches, saline-alkaline lands, and water bodies. These lands have relatively distinct spectral and texture features. The spectral features along the beach show characteristics of absorption in the green band and reflection in the red band. This feature is less affected by the acquisition year, season, and sensor type. Saline-alkali land due to the influence of some saline-alkaline-tolerant plants such as alkali tent, Tamarix and other vegetation, the spectral characteristics have a certain seasonal changes, winter and spring NDVI index is less than the summer and autumn vegetation index. The spectral characteristics of a water body generally decrease rapidly with increasing wavelength, and the reflectance in the red band increases with increasing sediment concentration. In conclusion, according to the spectral characteristics and image texture features of the ecological land in the Yellow River Delta, the accuracy of image interpretation of such ecological land can be improved.

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