《全球森林资源评估遥感调查》（英文）-92页

FRA 2020 Remote Sensing SurveyFAOFORESTRYPAPER186 FRA 2020 Remote Sensing SurveyFAOFORESTRYPAPER186FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONSRome 2022 Required citation:FAO. 2022. FRA 2020 Remote Sensing Survey. FAO Forestry Paper No. 186. Rome. https:/doi.org/10.4060/cb9970enThe designations employed and the presentation of material in this information product do not imply theexpression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of itsauthorities, or concerning the delimitation of its frontiers or boundaries. Dashed lines on maps representapproximate border lines for which there may not yet be full agreement. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these havebeen endorsed or recommended by FAO in preference to others of a similar nature that are not mentioned.The views expressed in this information product are those of the author(s) and do not necessarily reflectthe views or policies of FAO.ISBN ISBN 978-92-5-136147-4ISSN 0258-6150 printISSN 2706-8773 online© FAO, 2022Some rights reserved. This work is made available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https:/creativecommons.org/licenses/by-nc-sa/3.0/igo/legalcode).Under the terms of this licence, this work may be copied, redistributed and adapted for non-commercialpurposes, provided that the work is appropriately cited. In any use of this work, there should be nosuggestion that FAO endorses any specific organization, products or services. The use of the FAO logois not permitted. If the work is adapted, then it must be licensed under the same or equivalent CreativeCommons licence. If a translation of this work is created, it must include the following disclaimer alongwith the required citation: “This translation was not created by the Food and Agriculture Organizationof the United Nations (FAO). FAO is not responsible for the content or accuracy of this translation. Theoriginal Language edition shall be the authoritative edition.”Disputes arising under the licence that cannot be settled amicably will be resolved by mediation andarbitration as described in Article 8 of the licence except as otherwise provided herein. The applicablemediation rules will be the mediation rules of the World Intellectual Property Organization http:/www.wipo.int/amc/en/mediation/rules and any arbitration will be conducted in accordance with the Arbitration Rules of the United Nations Commission on International Trade Law (UNCITRAL).Third-party materials. Users wishing to reuse material from this work that is attributed to a third party,such as tables, figures or images, are responsible for determining whether permission is needed for that reuse and for obtaining permission from the copyright holder. The risk of claims resulting from infringementof any third-party-owned component in the work rests solely with the user.Sales, rights and licensing. FAO information products are available on the FAO website (www.fao.org/publications) and can be purchased through publications-salesfao.org. Requests for commercial useshould be submitted via: www.fao.org/contact-us/licence-request. Queries regarding rights and licensing should be submitted to: copyrightfao.org.Cover photograph: The Amazon forest has become a visual symbol for Earths ecological reserves but there is much more to humankinds ecological footprint, from the oceans and fishing to urban infrastructureand agriculture. ©ESA/NASAT. Pesquet iiiContentsForewordixxxixiiAcknowledgementsAcronyms and abbreviationsExecutive summary1 Introduction12 Previous remote sensing surveys55562.1 FRA 1990 and 2000 pan-tropical Remote Sensing Surveys2.2 FRA 2010 Global Remote Sensing Survey2.3 Global Drylands Assessment 20173 Methods and materials93.1 Data collection93.1.1 Sampling design.93.1.2 Image interpretation .113.1.3 Survey form .123.1.4 Participatory data collection approach .133.2 Data analysis3.3 Validation13133.3.1 Quality assurance and quality control.133.3.2 Accuracy assessment implementation.