Forest canopy spectral seasonal phase change monitoring method based on medium-resolution image
The invention discloses a forest canopy spectral seasonal phase change monitoring method based on a medium-resolution image, and the method comprises the steps: dividing the same forest stand into a plurality of subareas with the same size, and randomly selecting a certain number of subareas as a sa...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | WANG LEI XIE ZHULI SHI JING ZHOU YANG YIN JIXIAN |
| description | The invention discloses a forest canopy spectral seasonal phase change monitoring method based on a medium-resolution image, and the method comprises the steps: dividing the same forest stand into a plurality of subareas with the same size, and randomly selecting a certain number of subareas as a sample region; acquiring multi-year remote sensing image data of the sample area as sample data; preprocessing the sample data; extracting spectral information in the preprocessed sample data, and respectively calculating normalized vegetation indexes of the forest canopy on each image shooting date in many years based on the spectral information; superposing the normalized vegetation index of each image shooting date in the forest canopy for many years to one year; introducing a logistic curve and improving the logistic curve; and fitting the normalized vegetation indexes superimposed to one year by utilizing the improved logistic curve to obtain a seasonal phase change curve of the forest canopy spectrum. According |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN112683811A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN112683811A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN112683811A3</originalsourceid><addsrcrecordid>eNqNjLEOwjAMRLswIOAfzAd0CJVQV1S1YmJir0xi2kiJHcXpwN-TgQ9gurt3p9s38ySZtIBFlvQBTWRLxgBKqMLVpBWVwK7IC0EU9kWy5wUilVUcvGrrQLhm57fY1jMJW_GV-IgLHZvdG4PS6aeH5jyNz-HeUpKZNKElpjIPD2Mu177rjbl1_2y-x7w9dA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Forest canopy spectral seasonal phase change monitoring method based on medium-resolution image</title><source>esp@cenet</source><creator>WANG LEI ; XIE ZHULI ; SHI JING ; ZHOU YANG ; YIN JIXIAN</creator><creatorcontrib>WANG LEI ; XIE ZHULI ; SHI JING ; ZHOU YANG ; YIN JIXIAN</creatorcontrib><description>The invention discloses a forest canopy spectral seasonal phase change monitoring method based on a medium-resolution image, and the method comprises the steps: dividing the same forest stand into a plurality of subareas with the same size, and randomly selecting a certain number of subareas as a sample region; acquiring multi-year remote sensing image data of the sample area as sample data; preprocessing the sample data; extracting spectral information in the preprocessed sample data, and respectively calculating normalized vegetation indexes of the forest canopy on each image shooting date in many years based on the spectral information; superposing the normalized vegetation index of each image shooting date in the forest canopy for many years to one year; introducing a logistic curve and improving the logistic curve; and fitting the normalized vegetation indexes superimposed to one year by utilizing the improved logistic curve to obtain a seasonal phase change curve of the forest canopy spectrum. According</description><language>chi ; eng</language><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES ; MEASURING ; PHYSICS ; TESTING</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210420&DB=EPODOC&CC=CN&NR=112683811A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210420&DB=EPODOC&CC=CN&NR=112683811A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG LEI</creatorcontrib><creatorcontrib>XIE ZHULI</creatorcontrib><creatorcontrib>SHI JING</creatorcontrib><creatorcontrib>ZHOU YANG</creatorcontrib><creatorcontrib>YIN JIXIAN</creatorcontrib><title>Forest canopy spectral seasonal phase change monitoring method based on medium-resolution image</title><description>The invention discloses a forest canopy spectral seasonal phase change monitoring method based on a medium-resolution image, and the method comprises the steps: dividing the same forest stand into a plurality of subareas with the same size, and randomly selecting a certain number of subareas as a sample region; acquiring multi-year remote sensing image data of the sample area as sample data; preprocessing the sample data; extracting spectral information in the preprocessed sample data, and respectively calculating normalized vegetation indexes of the forest canopy on each image shooting date in many years based on the spectral information; superposing the normalized vegetation index of each image shooting date in the forest canopy for many years to one year; introducing a logistic curve and improving the logistic curve; and fitting the normalized vegetation indexes superimposed to one year by utilizing the improved logistic curve to obtain a seasonal phase change curve of the forest canopy spectrum. According</description><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjLEOwjAMRLswIOAfzAd0CJVQV1S1YmJir0xi2kiJHcXpwN-TgQ9gurt3p9s38ySZtIBFlvQBTWRLxgBKqMLVpBWVwK7IC0EU9kWy5wUilVUcvGrrQLhm57fY1jMJW_GV-IgLHZvdG4PS6aeH5jyNz-HeUpKZNKElpjIPD2Mu177rjbl1_2y-x7w9dA</recordid><startdate>20210420</startdate><enddate>20210420</enddate><creator>WANG LEI</creator><creator>XIE ZHULI</creator><creator>SHI JING</creator><creator>ZHOU YANG</creator><creator>YIN JIXIAN</creator><scope>EVB</scope></search><sort><creationdate>20210420</creationdate><title>Forest canopy spectral seasonal phase change monitoring method based on medium-resolution image</title><author>WANG LEI ; XIE ZHULI ; SHI JING ; ZHOU YANG ; YIN JIXIAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN112683811A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>WANG LEI</creatorcontrib><creatorcontrib>XIE ZHULI</creatorcontrib><creatorcontrib>SHI JING</creatorcontrib><creatorcontrib>ZHOU YANG</creatorcontrib><creatorcontrib>YIN JIXIAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG LEI</au><au>XIE ZHULI</au><au>SHI JING</au><au>ZHOU YANG</au><au>YIN JIXIAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Forest canopy spectral seasonal phase change monitoring method based on medium-resolution image</title><date>2021-04-20</date><risdate>2021</risdate><abstract>The invention discloses a forest canopy spectral seasonal phase change monitoring method based on a medium-resolution image, and the method comprises the steps: dividing the same forest stand into a plurality of subareas with the same size, and randomly selecting a certain number of subareas as a sample region; acquiring multi-year remote sensing image data of the sample area as sample data; preprocessing the sample data; extracting spectral information in the preprocessed sample data, and respectively calculating normalized vegetation indexes of the forest canopy on each image shooting date in many years based on the spectral information; superposing the normalized vegetation index of each image shooting date in the forest canopy for many years to one year; introducing a logistic curve and improving the logistic curve; and fitting the normalized vegetation indexes superimposed to one year by utilizing the improved logistic curve to obtain a seasonal phase change curve of the forest canopy spectrum. According</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN112683811A |
| source | esp@cenet |
| subjects | INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING PHYSICS TESTING |
| title | Forest canopy spectral seasonal phase change monitoring method based on medium-resolution image |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T02%3A19%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=WANG%20LEI&rft.date=2021-04-20&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN112683811A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |