@incollection{fdi:010070529,
  title = {{C}ontribution of remote sensing for crop and water monitoring},
  author = {{C}ourault, {D}. and {D}emarez, {V}. and {G}u{\'e}rif, {M}. and {L}e {P}age, {M}ichel and {S}imonneaux, {V}incent and {F}errant, {S}. and {V}eloso, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}griculture brings with it a number of issues: agricultural production and food security, water and soil resource conservation, limiting the impact of farming on the quality of our environment (water, air, soil). {I}n the context of global changes and the challenges they pose for agriculture sustainability, our ability to characterize how croplands function in terms of water, carbon and particle fluxes is crucial. {D}evelopments of agro-ecosystems modeling, including their interactions with the atmosphere and the anthropogenic factors are valuable tools for progress in this direction. {R}emote sensing, with the high variety of spectral ranges and the fine spatial and temporal resolution currently available, is a tool of great value for various applications in agriculture. {T}he availability of robust inverse methods that allow surface biophysical variables to be assessed, combined with modeling approaches, makes it a high performance tool. {T}he major contributions of remote sensing include : - its ability to cover large stretches of land and to provide information on the various land uses and practices generated by agriculture. {T}hese uses and practices are important to know, both for census purposes (agricultural statistics, agri-environmental monitoring, etc.) and for modeling the behavior of agro-hydrosystems ; - providing frequent variables characterizing soil and vegetation properties that allows us to monitor the status of crops, their production potential, their irrigation requirements. {T}his monitoring is a highly strategic issue, both for forecasting purposes, food security and good resource management ; - the possibility, from the same information, of assessing the contribution of agricultural lands to net emissions of {CO}2 and other greenhouse gases ({GHG}s) ; this assessment is essential for proposing alternative agricultural scenarios for mitigating the contribution of croplands to climate change ; - thanks to the fine spatial and temporal resolution of information, the possibility of providing a decision support for farming activities according to the intra-field variability (precision farming). {T}his dimension represents an important lever for enabling agricultural systems to achieve better efficiency and economical use of inputs for an agriculture that respects the environment.},
  keywords = {{TELEDETECTION} {SPATIALE} ; {CARTOGRAPHIE} {AUTOMATIQUE} ; {AGRICULTURE} ; {UTILISATION} {DU} {SOL} ; {COUVERT} {VEGETAL} ; {INDICE} {DE} {VEGETATION} ; {PRATIQUE} {CULTURALE} ; {CALENDRIER} {CULTURAL} ; {SYSTEME} {DE} {CULTURE} ; {IRRIGATION} ; {BESOIN} {EN} {EAU} ; {EVAPOTRANSPIRATION} ; {PRODUCTION} {AGRICOLE} ; {BIOMASSE} ; {FERTILISATION} {DU} {SOL} ; {AZOTE} ; {METHODOLOGIE} ; {TEMPERATURE} {DE} {SURFACE} ; {RADAR} ; {AIDE} {A} {LA} {DECISION} ; {LOGICIEL} {D}'{APPLICATION} ; {MODELE} {STICS}},
  booktitle = {{L}and surface remote sensing in agriculture and forest},
  numero = {},
  pages = {113--177},
  address = {{O}xford ({GBR}) ; {L}ondres},
  publisher = {{E}lsevier ; {ISTE}},
  series = {{R}emote {S}ensing {O}bservations of {C}ontinental {S}urfaces {S}et},
  year = {2016},
  DOI = {10.1016/{B}978-1-78548-103-1.50004-2},
  ISBN = {978-1-78548-103-1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070529},
}