@article{fdi:010077050,
  title = {{U}se of spatial autocorrelation and time series {L}andsat images for long-term monitoring of surface water shrinkage and expansion in {G}uanting {R}eservoir, {C}hina},
  author = {{L}i, {Z}. and {F}eng, {Y}. {J}. and {G}urgel, {H}. {L}. and {X}u, {L}. and {D}essay, {N}adine and {G}ong, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}eservoirs are closely related to anthropic activities, and quantifying the long-term dynamics of surface water in reservoirs could be useful for decision-makers to improve the actual strategies of reservoir management. {T}his study used the global {M}oran's {I} index, modi?ed {N}ormalized {D}ifference {W}ater {I}ndex ({MNDWI}) and a total of 596 {L}andsat images during 1985-2018 for tracking the annual dynamics of water extent in the process of water shrinkage and expansion in {G}uanting {R}eservoir, {C}hina. {L}andscape metrics related to the area, elongation, fragmentation, and edge complexity of surface water in reservoir landscape were computed for tracking the annual dynamics of surface water patterns. {S}tatistical comparison between the results of global {M}oran's {I} index and landscape metrics indicates that except for the complexity of water and non-water edge, global {M}oran's {I} index can successfully estimate the dynamics of the area, elongation and fragmentation of surface water in the reservoir. {T}his study proposed a continuous approach of long-term monitoring of surface water patterns using spatial autocorrelation that might be used in the areas where the surface water extraction is difficult and water dynamics are complex.},
  keywords = {{CHINE} ; {PEKIN} ; {GUANTING}},
  booktitle = {},
  journal = {{R}emote {S}ensing {L}etters},
  volume = {10},
  numero = {12},
  pages = {1192--1200},
  ISSN = {2150-704{X}},
  year = {2019},
  DOI = {10.1080/2150704x.2019.1671634},
  URL = {https://www.documentation.ird.fr/hor/fdi:010077050},
}