Li et al., 2016 - Google Patents
Satellite-based estimation of column-integrated algal biomass in nonalgae bloom conditions: a case study of Lake Chaohu, ChinaLi et al., 2016
View PDF- Document ID
- 7694554241732836292
- Author
- Li J
- Zhang Y
- Ma R
- Duan H
- Loiselle S
- Xue K
- Liang Q
- Publication year
- Publication venue
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
External Links
Snippet
In shallow lakes, algal biomass is a fundamental indicator of eutrophication status. However, the vertical movement of phytoplankton within the water column can complicate the determination of total phytoplankton biomass using remotely sensed data of surface …
- 239000002028 Biomass 0 title abstract description 160
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/314—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
- G01N2021/3155—Measuring in two spectral ranges, e.g. UV and visible
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
- G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
- G01N21/78—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/18—Water
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/02—Investigating or analysing materials by specific methods not covered by the preceding groups food
- G01N33/14—Investigating or analysing materials by specific methods not covered by the preceding groups food beverages
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover, wind speed
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Li et al. | Satellite-based estimation of column-integrated algal biomass in nonalgae bloom conditions: a case study of Lake Chaohu, China | |
Wang et al. | Trophic state assessment of global inland waters using a MODIS-derived Forel-Ule index | |
Jin et al. | Monitoring of wetland inundation dynamics in the Delmarva Peninsula using Landsat time-series imagery from 1985 to 2011 | |
Shi et al. | A semi-analytical approach for remote sensing of trophic state in inland waters: Bio-optical mechanism and application | |
Rodrigues et al. | Retrieval of Secchi disk depth from a reservoir using a semi-analytical scheme | |
Rodríguez-López et al. | Spectral analysis using LANDSAT images to monitor the chlorophyll-a concentration in Lake Laja in Chile | |
Muster et al. | Subpixel heterogeneity of ice-wedge polygonal tundra: a multi-scale analysis of land cover and evapotranspiration in the Lena River Delta, Siberia | |
Pandey et al. | Evaluating patterns of temporal glacier changes in Greater Himalayan range, Jammu & Kashmir, India | |
Artigas et al. | Hyperspectral remote sensing of marsh species and plant vigour gradient in the New Jersey Meadowlands | |
An et al. | Hyperspectral field estimation and remote-sensing inversion of salt content in coastal saline soils of the Yellow River Delta | |
Mustapha et al. | Evaluation of ocean color algorithms in the southeastern Beaufort Sea, Canadian Arctic: New parameterization using SeaWiFS, MODIS, and MERIS spectral bands | |
Yin et al. | Water clarity changes in Lake Taihu over 36 years based on Landsat TM and OLI observations | |
Shen et al. | Medium resolution imaging spectrometer (MERIS) estimation of chlorophyll-a concentration in the turbid sediment-laden waters of the Changjiang (Yangtze) Estuary | |
Li et al. | Estimation of chlorophyll-a concentrations in a highly turbid eutrophic lake using a classification-based MODIS land-band algorithm | |
Pinardi et al. | Spatial and temporal dynamics of primary producers in shallow lakes as seen from space: Intra-annual observations from Sentinel-2A | |
Zhao et al. | A study of sediment transport in a shallow estuary using MODIS imagery and particle tracking simulation | |
Duan et al. | Estimation of chlorophyll‐a concentration and trophic states for inland lakes in Northeast China from Landsat TM data and field spectral measurements | |
Gomes et al. | Satellite estimates of euphotic zone and Secchi disk depths in a colored dissolved organic matter-dominated inland water | |
Yagci et al. | Daily monitoring of marine mucilage using the MODIS products: A case study of 2021 mucilage bloom in the Sea of Marmara, Turkey | |
Wang et al. | Detecting the spatial and temporal variability of chlorophyll-a concentration and total suspended solids in Apalachicola Bay, Florida using MODIS imagery | |
Yin et al. | Increase in chlorophyll-a concentration in Lake Taihu from 1984 to 2021 based on Landsat observations | |
Chen et al. | Applicability evaluation of Landsat-8 for estimating low concentration colored dissolved organic matter in inland water | |
Fu et al. | Evaluating optically and non-optically active water quality and its response relationship to hydro-meteorology using multi-source data in Poyang Lake, China | |
Lyu et al. | Developing a two-step retrieval method for estimating total suspended solid concentration in Chinese turbid inland lakes using Geostationary Ocean Colour Imager (GOCI) imagery | |
Wang et al. | Algal blooms in lakes in China over the past two decades: Patterns, trends, and drivers |