Julie Paprocki , Nina Stark , Hans C. Graber , Heidi Wadman , Jesse E. McNinch
{"title":"用x波段合成孔径雷达估算沙滩含水率","authors":"Julie Paprocki , Nina Stark , Hans C. Graber , Heidi Wadman , Jesse E. McNinch","doi":"10.1016/j.rse.2025.115005","DOIUrl":null,"url":null,"abstract":"<div><div>Moisture content is a critical parameter for estimating the strength of partially saturated sand for engineering challenges such as beach trafficability. A framework for estimating the volumetric moisture content of sandy beaches using satellite-based <em>HH</em>-polarized X-band synthetic aperture radar imagery is presented and used to test the applicability of three theoretical scattering models: Oh, Dubois, and the Integral Equation Model (IEM). The developed framework relies on the measured backscatter coefficient, soil surface root-mean square (RMS) height, and the geometric characteristics of the image. Models for estimating the RMS height were developed based on field measurements for two distinct sites composed of predominately quartz sand and approximately uniform beach slopes: Duck, North Carolina and Cannon Beach in Yakutat, Alaska. The models were developed and tested for incidence angles of 23.3°-54.2° using data obtained from the Cosmo-SkyMED and TerraSAR-X satellites. Four sets of RMS height models were tested: Oh with moisture contents greater than 0 %, Oh with moisture contents greater than a very dry threshold, Dubois, and the IEM. Unique RMS height models, specific to a moisture content model, were developed for incidence angles ranging from a single incidence angle to a range of consecutive incidence angles. Applying the RMS height models, the root mean square error (RMSE) of moisture content was 0.7–6.9 %. Images with incidence angles of 30°- 46° and 40°-50° resulted in the best estimates of moisture content when compared to other ranges of incidence angles for the models tested. Deviations generally represented underestimates of the moisture content (0.1 %–1.3 %), with greater underestimates observed for the IEM. Spatial estimates of moisture content resulted in two distinct zones, one with low moisture contents and a second with slightly elevated moisture contents for all models except the IEM. Challenges associated with differences in scattering mechanisms, a lack of data with high moisture content, and sensitivity of models to small changes in RMS height are discussed.</div></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"331 ","pages":"Article 115005"},"PeriodicalIF":11.4000,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of moisture content of sandy beaches from X-band synthetic aperture radar\",\"authors\":\"Julie Paprocki , Nina Stark , Hans C. Graber , Heidi Wadman , Jesse E. McNinch\",\"doi\":\"10.1016/j.rse.2025.115005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Moisture content is a critical parameter for estimating the strength of partially saturated sand for engineering challenges such as beach trafficability. A framework for estimating the volumetric moisture content of sandy beaches using satellite-based <em>HH</em>-polarized X-band synthetic aperture radar imagery is presented and used to test the applicability of three theoretical scattering models: Oh, Dubois, and the Integral Equation Model (IEM). The developed framework relies on the measured backscatter coefficient, soil surface root-mean square (RMS) height, and the geometric characteristics of the image. Models for estimating the RMS height were developed based on field measurements for two distinct sites composed of predominately quartz sand and approximately uniform beach slopes: Duck, North Carolina and Cannon Beach in Yakutat, Alaska. The models were developed and tested for incidence angles of 23.3°-54.2° using data obtained from the Cosmo-SkyMED and TerraSAR-X satellites. Four sets of RMS height models were tested: Oh with moisture contents greater than 0 %, Oh with moisture contents greater than a very dry threshold, Dubois, and the IEM. Unique RMS height models, specific to a moisture content model, were developed for incidence angles ranging from a single incidence angle to a range of consecutive incidence angles. Applying the RMS height models, the root mean square error (RMSE) of moisture content was 0.7–6.9 %. Images with incidence angles of 30°- 46° and 40°-50° resulted in the best estimates of moisture content when compared to other ranges of incidence angles for the models tested. Deviations generally represented underestimates of the moisture content (0.1 %–1.3 %), with greater underestimates observed for the IEM. Spatial estimates of moisture content resulted in two distinct zones, one with low moisture contents and a second with slightly elevated moisture contents for all models except the IEM. Challenges associated with differences in scattering mechanisms, a lack of data with high moisture content, and sensitivity of models to small changes in RMS height are discussed.</div></div>\",\"PeriodicalId\":417,\"journal\":{\"name\":\"Remote Sensing of Environment\",\"volume\":\"331 \",\"pages\":\"Article 115005\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2025-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing of Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0034425725004092\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0034425725004092","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Estimation of moisture content of sandy beaches from X-band synthetic aperture radar
Moisture content is a critical parameter for estimating the strength of partially saturated sand for engineering challenges such as beach trafficability. A framework for estimating the volumetric moisture content of sandy beaches using satellite-based HH-polarized X-band synthetic aperture radar imagery is presented and used to test the applicability of three theoretical scattering models: Oh, Dubois, and the Integral Equation Model (IEM). The developed framework relies on the measured backscatter coefficient, soil surface root-mean square (RMS) height, and the geometric characteristics of the image. Models for estimating the RMS height were developed based on field measurements for two distinct sites composed of predominately quartz sand and approximately uniform beach slopes: Duck, North Carolina and Cannon Beach in Yakutat, Alaska. The models were developed and tested for incidence angles of 23.3°-54.2° using data obtained from the Cosmo-SkyMED and TerraSAR-X satellites. Four sets of RMS height models were tested: Oh with moisture contents greater than 0 %, Oh with moisture contents greater than a very dry threshold, Dubois, and the IEM. Unique RMS height models, specific to a moisture content model, were developed for incidence angles ranging from a single incidence angle to a range of consecutive incidence angles. Applying the RMS height models, the root mean square error (RMSE) of moisture content was 0.7–6.9 %. Images with incidence angles of 30°- 46° and 40°-50° resulted in the best estimates of moisture content when compared to other ranges of incidence angles for the models tested. Deviations generally represented underestimates of the moisture content (0.1 %–1.3 %), with greater underestimates observed for the IEM. Spatial estimates of moisture content resulted in two distinct zones, one with low moisture contents and a second with slightly elevated moisture contents for all models except the IEM. Challenges associated with differences in scattering mechanisms, a lack of data with high moisture content, and sensitivity of models to small changes in RMS height are discussed.
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.