Fangfang Zhang
Orcid: 0000-0002-9628-1817Affiliations:
- Chinese Academy of Sciences, Aerospace Information Research Institute, Key Laboratory of Digital Earth Science, Beijing, China
According to our database1,
Fangfang Zhang
authored at least 28 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Satellite-Based Water Quality Assessment of the Beijing Section of the Grand Canal: Implications for SDG11.4 Evaluation.
Remote. Sens., March, 2024
2023
Spatiotemporal variation of cyanobacterial harmful algal blooms in China based on literature and media information.
Int. J. Digit. Earth, December, 2023
A Hybrid Chlorophyll a Estimation Method for Oligotrophic and Mesotrophic Reservoirs Based on Optical Water Classification.
Remote. Sens., April, 2023
Sentinel-2 MSI Observations of Water Clarity in Inland Waters across Hainan Island and Implications for SDG 6.3.2 Evaluation.
Remote. Sens., March, 2023
2022
A Classification-Based, Semianalytical Approach for Estimating Water Clarity From a Hyperspectral Sensor Onboard the ZY1-02D Satellite.
IEEE Trans. Geosci. Remote. Sens., 2022
Deep Learning-Based Automatic Extraction of Cyanobacterial Blooms from Sentinel-2 MSI Satellite Data.
Remote. Sens., 2022
Smartphone-Camera-Based Water Reflectance Measurement and Typical Water Quality Parameter Inversion.
Remote. Sens., 2022
2021
Remote Sensing-Based Analysis of Spatial and Temporal Water Colour Variations in Baiyangdian Lake after the Establishment of the Xiong'an New Area.
Remote. Sens., 2021
Retrieval and Spatio-Temporal Variations Analysis of Yangtze River Water Clarity from 2017 to 2020 Based on Sentinel-2 Images.
Remote. Sens., 2021
Patterns, Trends and Drivers of Water Transparency in Sri Lanka Using Landsat 8 Observations and Google Earth Engine.
Remote. Sens., 2021
Water clarity changes in Lake Taihu over 36 years based on Landsat TM and OLI observations.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Measurement of Water Leaving Reflectance Using a Digital Camera Based on Multiple Reflectance Reference Cards.
Sensors, 2020
Remote. Sens., 2020
Sensing Images for Assessing the Minimum Ecological Flux by Automatically Extracting River Surface Width.
Remote. Sens., 2020
Spatial and Temporal Changes in Surface Water Area of Sri Lanka over a 30-Year Period.
Remote. Sens., 2020
Secchi Disk Depth Estimation from China's New Generation of GF-5 Hyperspectral Observations Using a Semi-Analytical Scheme.
Remote. Sens., 2020
2019
A CIE Color Purity Algorithm to Detect Black and Odorous Water in Urban Rivers Using High-Resolution Multispectral Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2019
Estimation of Chlorophyll-a Concentrations in a Highly Turbid Eutrophic Lake Using a Classification-Based MODIS Land-Band Algorithm.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Regional Vicarious Calibration of the SWIR-Based Atmospheric Correction Approach for MODIS-Aqua Measurements of Highly Turbid Inland Water.
Remote. Sens., 2019
A soft-classification-based chlorophyll-<i>a</i> estimation method using MERIS data in the highly turbid and eutrophic Taihu Lake.
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Distinguishing Cyanobacterial Bloom From Floating Leaf Vegetation in Lake Taihu Based on Medium-Resolution Imaging Spectrometer (MERIS) Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Uncertainty and Variation of Remotely Sensed Lake Ice Phenology across the Tibetan Plateau.
Remote. Sens., 2018
2016
Spectral Classification of the Yellow Sea and Implications for Coastal Ocean Color Remote Sensing.
Remote. Sens., 2016
MODIS observations of water color of the largest 10 lakes in China between 2000 and 2012.
Int. J. Digit. Earth, 2016
2015
Algorithms and Schemes for Chlorophyll a Estimation by Remote Sensing and Optical Classification for Turbid Lake Taihu, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
MODIS-Based Radiometric Color Extraction and Classification of Inland Water With the Forel-Ule Scale: A Case Study of Lake Taihu.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Classification of Several Optically Complex Waters in China Using <i>in Situ</i> Remote Sensing Reflectance.
Remote. Sens., 2015