@Article{JindoKIMEWASSK:2021:PoUtSa,
author = "Jindo, Keiji and Kozan, Osamu and Iseki, Kohtaro and Maestrini,
Bernardo and van Evert, Frits K. and Wubengeda, Yilma and Arai,
Egidio and Shimabukuro, Yosio Edemir and Sawada, Yoshito and
Kempenaar, Corne",
affiliation = "{Wageningen University \& Research} and {Kyoto University} and
{Japan International Research Center for Agricultural Sciences
(JIRCAS)} and {Wageningen University \& Research} and {Wageningen
University \& Research} and {Colorado State University} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Japan Aerospace
Exploration Agency (JAXA)} and {Wageningen University \&
Research}",
title = "Potential utilization of satellite remote sensing for field-based
agricultural studies",
journal = "Chemical and Biological Technologies in Agriculture",
year = "2021",
volume = "5",
number = "1",
pages = "e58",
month = "Nov.",
keywords = "Satellite remote-sensing, Drought stress, Land-use map,
Evapotranspiration, Deforestation, PALSAR.",
abstract = "Using satellite remote-sensing is a useful approach for
agriculture to monitor plant and soil conditions and provide
decision-making support to farmers. Recently, several types of
tools and indices by the satellite remote-sensing have been
developed for monitoring drought stress, changes in land uses, and
crop-soil water relations. Although these techniques are powerful
tools, especially in developing countries and regions where
precise data of crop evaluation and yield statistics are not
accessible, it is quite difficult for beginners to select the most
suitable tool or index for their objectives. Major difficulties
are in the specificity of the terminology, differences among the
sensors (e.g., active vs. passive sensors), interpretation of
imaginary data, and multidisciplinary topics. This work offers
non-expert readers basic knowledge of remote-sensing use in
agriculture, presenting advancements in the field and future
insights. We review different sensors that are frequently used,
such as optical sensors and synthetic aperture radar, as well as
the following different purposes for using remote-sensing in
agriculture: drought stress detection, monitoring land use in
tropical regions (e.g., deforestation), and estimating water
balance evapotranspiration in emerging and developing countries.
Additionally, the integrated approach of remote-sensing data into
the crop simulation model, which can provide a more holistic view
of the plant and field status over cropping season, is described
for the field-based studies.",
doi = "10.1186/s40538-021-00253-4",
url = "http://dx.doi.org/10.1186/s40538-021-00253-4",
issn = "2196-5641",
language = "en",
targetfile = "jindo_potential.pdf",
urlaccessdate = "09 maio 2024"
}