{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T18:31:37Z","timestamp":1774031497156,"version":"3.50.1"},"reference-count":70,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This paper reports on monitored Suaeda salsa spectral response to salt conditions in coastal wetlands, using spectral measurements and remotely sensed algorithms. Suaeda salsa seedlings were collected from the Dafeng Elk National Nature Reserve (DENNR) in Jiangsu Province, China. We treated 21 Suaeda salsa seedlings planted in pots with 7 different salt concentrations (n = 3 for each concentration) to assess their response to varying salt conditions. Various plant growth indicators, including chlorophyll content, fresh weight, dry weight, and canopy hyperspectral reflectance, were measured. One-way analysis of variance (ANOVA) and post hoc multiple comparisons of least-significant difference (LSD) were used to explore the physiological indicators of sensitivity to salt treatment. Red edge parameters and spectral reflectance indices were used to analyze spectral response to salt conditions and to investigate the potential for remotely sensing physiological parameters which are sensitive to salt conditions. The results indicated that among these physiological indicators, the total chlorophyll content differed significantly with salt conditions, being highest at 50 mmol\/L, whereas the differences observed for the morphological parameters were highest at 200 mmol\/L. In addition, new vegetation indices were significantly more responsive to salt concentrations than were traditional red edge parameters. The two vegetation indices, D854\/D792 and (D792 \u2212 D854)\/(D792 + D854), were the most sensitive to the total chlorophyll content, and these also strongly correlated with salt concentrations. An analysis of the responses of plant growth indicators to salt treatment showed that soil having a salt concentration of 50~200 mmol\/L is most suitable for the growth of Suaeda salsa. These results suggest the potential for using remote sensing to effectively interpret the causes of salt-induced spectral changes in Suaeda salsa. This methodology also provides a new reference for the inversion model of estimating the total chlorophyll content of Suaeda salsa under different salt concentrations in similar coastal wetlands, whether in China or elsewhere.<\/jats:p>","DOI":"10.3390\/rs12172700","type":"journal-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T09:35:31Z","timestamp":1597916131000},"page":"2700","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Monitoring Suaeda salsa Spectral Response to Salt Conditions in Coastal Wetlands: A Case Study in Dafeng Elk National Nature Reserve, China"],"prefix":"10.3390","volume":"12","author":[{"given":"Xia","family":"Lu","sequence":"first","affiliation":[{"name":"Jiangsu Key laboratory of Marine Bioresources and Environment\/Jiangsu Key laboratory of Marine Biotechnology\/Co-Innovation Center of Jiangsu Marine Bio-Industry Technology, Jiangsu Ocean University, Lianyungang 222005, China"},{"name":"School of Geomatics and Marine Information, Jiangsu Ocean University, Lianyungang 222005, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Jiangsu Key laboratory of Marine Bioresources and Environment\/Jiangsu Key laboratory of Marine Biotechnology\/Co-Innovation Center of Jiangsu Marine Bio-Industry Technology, Jiangsu Ocean University, Lianyungang 222005, China"},{"name":"School of Geomatics and Marine Information, Jiangsu Ocean University, Lianyungang 222005, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanqin","family":"Tian","sequence":"additional","affiliation":[{"name":"Jiangsu Key laboratory of Marine Bioresources and Environment\/Jiangsu Key laboratory of Marine Biotechnology\/Co-Innovation Center of Jiangsu Marine Bio-Industry Technology, Jiangsu Ocean University, Lianyungang 222005, China"},{"name":"School of Geomatics and Marine Information, Jiangsu Ocean University, Lianyungang 222005, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yurong","family":"Li","sequence":"additional","affiliation":[{"name":"Jiangsu Key laboratory of Marine Bioresources and Environment\/Jiangsu Key laboratory of Marine Biotechnology\/Co-Innovation Center of Jiangsu Marine Bio-Industry Technology, Jiangsu Ocean University, Lianyungang 222005, China"},{"name":"School of Geomatics and Marine Information, Jiangsu Ocean University, Lianyungang 222005, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Wen","sequence":"additional","affiliation":[{"name":"Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JinYau","family":"Tsou","sequence":"additional","affiliation":[{"name":"Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, China"},{"name":"Faculty of Social Science and Asia-Pacific Studies Institute, Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanzhi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Faculty of Social Science and Asia-Pacific Studies Institute, Chinese University of Hong Kong, Hong Kong, China"},{"name":"School of Marine Science, Nanjing University of Information Science and Technology, Nanjing 210044, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"111467","DOI":"10.1016\/j.rse.2019.111467","article-title":"Spectral vegetation indices of wetland greenness: Responses to vegetation structure, composition, and spatial distribution","volume":"234","author":"Taddeo","year":"2019","journal-title":"Remote Sens. 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