Are phenological variations in natural teak (Tectona grandis) forests of India governed by rainfall? A remote sensing based investigation
Monitoring and assessment of vegetation phenology at the regional to global scale are essential to understand the characteristics of various biophysical parameters in terrestrial ecosystems. Passive optical remote sensing data have been used extensively in the recent past to study phenology of veget...
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| Veröffentlicht in: | Environmental monitoring and assessment 2019-12, Vol.191 (Suppl 3), p.786-786, Article 786 |
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| creator | Ghosh, Surajit Nandy, Subrata Mohanty, Srutisudha Subba, Rupesh Kushwaha, S.P.S. |
| description | Monitoring and assessment of vegetation phenology at the regional to global scale are essential to understand the characteristics of various biophysical parameters in terrestrial ecosystems. Passive optical remote sensing data have been used extensively in the recent past to study phenology of vegetation, also called land surface phenology, at diverse landscapes across the globe. In the present study, the moderate resolution imaging spectroradiometer (MODIS)-derived enhanced vegetation index (EVI) time series data (2000–2013) was used to study the phenology of dry and moist teak (
Tectona grandis
) forests of different biogeographic provinces of India. Four phenology metrics, viz., start of season (SOS), end of season (EOS), peak of season (POS) and length of season (LOS) were derived using the TIMESAT tool. The SOSs’ of dry and moist teak were found during July–August. LOS of moist teak was found to be much longer (~ 48 days) than dry teak. Also, a significant difference of leaf area index (LAI) (~ 2.8) of dry and moist teak forests was noticed during peak season from MODIS LAI product (MOD15A2). Vegetation phenology is greatly responsive to the fluctuation of climatic parameters such as rainfall. Hence, pre-season cumulative rainfall data were analysed to understand the control of rainfall over phenological variations in natural teak forests of India. It was noticed that rainfall was reasonably well correlated with SOS (
R
2
= 0.57–0.72) for both types of teak forests. The study highlighted the efficacy of time series MODIS EVI data to study the phenological variations in different teak forest types of India in a data-limited situation. |
| doi_str_mv | 10.1007/s10661-019-7680-0 |
| format | Article |
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Tectona grandis
) forests of different biogeographic provinces of India. Four phenology metrics, viz., start of season (SOS), end of season (EOS), peak of season (POS) and length of season (LOS) were derived using the TIMESAT tool. The SOSs’ of dry and moist teak were found during July–August. LOS of moist teak was found to be much longer (~ 48 days) than dry teak. Also, a significant difference of leaf area index (LAI) (~ 2.8) of dry and moist teak forests was noticed during peak season from MODIS LAI product (MOD15A2). Vegetation phenology is greatly responsive to the fluctuation of climatic parameters such as rainfall. Hence, pre-season cumulative rainfall data were analysed to understand the control of rainfall over phenological variations in natural teak forests of India. It was noticed that rainfall was reasonably well correlated with SOS (
R
2
= 0.57–0.72) for both types of teak forests. The study highlighted the efficacy of time series MODIS EVI data to study the phenological variations in different teak forest types of India in a data-limited situation.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-019-7680-0</identifier><identifier>PMID: 31989274</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Atmospheric Protection/Air Quality Control/Air Pollution ; Data ; Earth and Environmental Science ; Ecology ; Ecosystem ; Ecotoxicology ; Environment ; Environmental Management ; Environmental Monitoring ; Environmental science ; Forests ; Hydrologic data ; Imaging techniques ; India ; Leaf area ; Leaf area index ; MODIS ; Monitoring/Environmental Analysis ; Parameters ; Phenology ; Rain ; Rainfall ; Rainfall data ; Remote monitoring ; Remote sensing ; Remote Sensing Technology ; Seasons ; Spectroradiometers ; Tectona grandis ; Terrestrial ecosystems ; Time series ; Topical Collection on Terrestrial and Ocean Dynamics: Indian Perspectives ; Variation ; Vegetation ; Vegetation index</subject><ispartof>Environmental monitoring and assessment, 2019-12, Vol.191 (Suppl 3), p.786-786, Article 786</ispartof><rights>Springer Nature Switzerland AG 2019</rights><rights>Environmental Monitoring and Assessment is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-99f684b60b85e92151070f8b7dc34023015ced53af604c15fa4eb4b727144d583</citedby><cites>FETCH-LOGICAL-c372t-99f684b60b85e92151070f8b7dc34023015ced53af604c15fa4eb4b727144d583</cites><orcidid>0000-0003-4127-4035</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10661-019-7680-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-019-7680-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31989274$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ghosh, Surajit</creatorcontrib><creatorcontrib>Nandy, Subrata</creatorcontrib><creatorcontrib>Mohanty, Srutisudha</creatorcontrib><creatorcontrib>Subba, Rupesh</creatorcontrib><creatorcontrib>Kushwaha, S.P.S.</creatorcontrib><title>Are phenological variations in natural teak (Tectona grandis) forests of India governed by rainfall? A remote sensing based investigation</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>Monitoring and assessment of vegetation phenology at the regional to global scale are essential to understand the characteristics of various biophysical parameters in terrestrial ecosystems. Passive optical remote sensing data have been used extensively in the recent past to study phenology of vegetation, also called land surface phenology, at diverse landscapes across the globe. In the present study, the moderate resolution imaging spectroradiometer (MODIS)-derived enhanced vegetation index (EVI) time series data (2000–2013) was used to study the phenology of dry and moist teak (
Tectona grandis
) forests of different biogeographic provinces of India. Four phenology metrics, viz., start of season (SOS), end of season (EOS), peak of season (POS) and length of season (LOS) were derived using the TIMESAT tool. The SOSs’ of dry and moist teak were found during July–August. LOS of moist teak was found to be much longer (~ 48 days) than dry teak. Also, a significant difference of leaf area index (LAI) (~ 2.8) of dry and moist teak forests was noticed during peak season from MODIS LAI product (MOD15A2). Vegetation phenology is greatly responsive to the fluctuation of climatic parameters such as rainfall. Hence, pre-season cumulative rainfall data were analysed to understand the control of rainfall over phenological variations in natural teak forests of India. It was noticed that rainfall was reasonably well correlated with SOS (
R
2
= 0.57–0.72) for both types of teak forests. The study highlighted the efficacy of time series MODIS EVI data to study the phenological variations in different teak forest types of India in a data-limited situation.</description><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Data</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecosystem</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental Monitoring</subject><subject>Environmental science</subject><subject>Forests</subject><subject>Hydrologic data</subject><subject>Imaging techniques</subject><subject>India</subject><subject>Leaf area</subject><subject>Leaf area index</subject><subject>MODIS</subject><subject>Monitoring/Environmental Analysis</subject><subject>Parameters</subject><subject>Phenology</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Rainfall data</subject><subject>Remote monitoring</subject><subject>Remote sensing</subject><subject>Remote Sensing Technology</subject><subject>Seasons</subject><subject>Spectroradiometers</subject><subject>Tectona grandis</subject><subject>Terrestrial ecosystems</subject><subject>Time series</subject><subject>Topical Collection on Terrestrial and Ocean Dynamics: Indian Perspectives</subject><subject>Variation</subject><subject>Vegetation</subject><subject>Vegetation index</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kU2LFDEQhoMo7rj6A7xIwMt6aK18d04yLH4sLHhZzyHdXd1m7UnGpHtgf8L-azPOqiB4Kqh66n2Legl5yeAtAzDvCgOtWQPMNka30MAjsmHKiIZbZR-TDTBtGi20PSPPSrkFAGukfUrOBLOt5UZuyP02I91_w5jmNIXez_Tgc_BLSLHQEGn0y5prd0H_nV7cYL-k6OmUfRxCeUPHlLEshaaRXtVOnaQD5ogD7e5o9iGOfp7f0y3NuEsL0oKxhDjRzpfKhHio22H6ZfecPKlwwRcP9Zx8_fjh5vJzc_3l09Xl9rrpheFLY-2oW9lp6FqFljPFwMDYdmbohQQugKkeByX8qEH2TI1eYic7ww2TclCtOCcXJ919Tj_W6u92ofQ4zz5iWovjQhpV_yOgoq__QW_TmmO97khprpVmvFLsRPU5lZJxdPscdj7fOQbumJM75eRqTu6Ykzsqv3pQXrsdDn82fgdTAX4CSh3FCfNf6_-r_gSxNJ4B</recordid><startdate>20191201</startdate><enddate>20191201</enddate><creator>Ghosh, Surajit</creator><creator>Nandy, Subrata</creator><creator>Mohanty, Srutisudha</creator><creator>Subba, Rupesh</creator><creator>Kushwaha, S.P.S.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KL.</scope><scope>L.-</scope><scope>L.G</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4127-4035</orcidid></search><sort><creationdate>20191201</creationdate><title>Are phenological variations in natural teak (Tectona grandis) forests of India governed by rainfall? 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Academic</collection><jtitle>Environmental monitoring and assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghosh, Surajit</au><au>Nandy, Subrata</au><au>Mohanty, Srutisudha</au><au>Subba, Rupesh</au><au>Kushwaha, S.P.S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Are phenological variations in natural teak (Tectona grandis) forests of India governed by rainfall? A remote sensing based investigation</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2019-12-01</date><risdate>2019</risdate><volume>191</volume><issue>Suppl 3</issue><spage>786</spage><epage>786</epage><pages>786-786</pages><artnum>786</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>Monitoring and assessment of vegetation phenology at the regional to global scale are essential to understand the characteristics of various biophysical parameters in terrestrial ecosystems. Passive optical remote sensing data have been used extensively in the recent past to study phenology of vegetation, also called land surface phenology, at diverse landscapes across the globe. In the present study, the moderate resolution imaging spectroradiometer (MODIS)-derived enhanced vegetation index (EVI) time series data (2000–2013) was used to study the phenology of dry and moist teak (
Tectona grandis
) forests of different biogeographic provinces of India. Four phenology metrics, viz., start of season (SOS), end of season (EOS), peak of season (POS) and length of season (LOS) were derived using the TIMESAT tool. The SOSs’ of dry and moist teak were found during July–August. LOS of moist teak was found to be much longer (~ 48 days) than dry teak. Also, a significant difference of leaf area index (LAI) (~ 2.8) of dry and moist teak forests was noticed during peak season from MODIS LAI product (MOD15A2). Vegetation phenology is greatly responsive to the fluctuation of climatic parameters such as rainfall. Hence, pre-season cumulative rainfall data were analysed to understand the control of rainfall over phenological variations in natural teak forests of India. It was noticed that rainfall was reasonably well correlated with SOS (
R
2
= 0.57–0.72) for both types of teak forests. The study highlighted the efficacy of time series MODIS EVI data to study the phenological variations in different teak forest types of India in a data-limited situation.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>31989274</pmid><doi>10.1007/s10661-019-7680-0</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-4127-4035</orcidid></addata></record> |
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| ispartof | Environmental monitoring and assessment, 2019-12, Vol.191 (Suppl 3), p.786-786, Article 786 |
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| subjects | Atmospheric Protection/Air Quality Control/Air Pollution Data Earth and Environmental Science Ecology Ecosystem Ecotoxicology Environment Environmental Management Environmental Monitoring Environmental science Forests Hydrologic data Imaging techniques India Leaf area Leaf area index MODIS Monitoring/Environmental Analysis Parameters Phenology Rain Rainfall Rainfall data Remote monitoring Remote sensing Remote Sensing Technology Seasons Spectroradiometers Tectona grandis Terrestrial ecosystems Time series Topical Collection on Terrestrial and Ocean Dynamics: Indian Perspectives Variation Vegetation Vegetation index |
| title | Are phenological variations in natural teak (Tectona grandis) forests of India governed by rainfall? A remote sensing based investigation |
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