Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan
Autumn foliage color is an important phenological characteristic associated with climate and appeals to populations as a cultural ecosystem service (CES). Land surface phenology (LSP) analyzed using time-series remotely sensed imagery can facilitate the monitoring of autumn leaf color change (ALCC);...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/9/2017 |
| _version_ | 1827671642991493120 |
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| author | Narumasa Tsutsumida Nagai Shin Tomoaki Miura |
| author_facet | Narumasa Tsutsumida Nagai Shin Tomoaki Miura |
| author_sort | Narumasa Tsutsumida |
| collection | DOAJ |
| description | Autumn foliage color is an important phenological characteristic associated with climate and appeals to populations as a cultural ecosystem service (CES). Land surface phenology (LSP) analyzed using time-series remotely sensed imagery can facilitate the monitoring of autumn leaf color change (ALCC); however, the monitoring of autumn foliage by LSP approaches is still challenging because of complex spatio-temporal ALCC patterns and observational uncertainty associated with remote sensing sensors. Here, we evaluated the performance of several LSP analysis approaches in estimation of LSP-based ALCCs against the ground-level autumn foliage information obtained from 758 sightseeing (high CES) sites across Japan. The ground information uniquely collected by citizens represented ALCC stages of greening, early, peak, late, and defoliation collected on a daily basis. The ALCC was estimated using a second derivative approach, in which normalized difference vegetation index (NDVI), kernel normalized difference vegetation index (kNDVI), enhanced vegetation index (EVI), two-band enhanced vegetation index (EVI2), and green red vegetation index (GRVI) were applied based on MODerate resolution Imaging Spectroradiometer (MODIS) MOD09A1 with four (Beck, Elmore, Gu, and Zhang) double logistic smoothing methods in 2020. The results revealed inconsistency in the estimates obtained using different analytical methods; those obtained using EVI with the Beck model estimated the peak stage of the ALCC relatively well, while the estimates obtained using other indices and models had high discrepancies along with uncertainty. Our study provided insights on how the LSP approach can be improved toward mapping the CESs offered by autumn foliage. |
| first_indexed | 2024-03-10T03:45:43Z |
| format | Article |
| id | doaj.art-3dbc783c7a4b4cd3963e8e8117b2478a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T03:45:43Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-3dbc783c7a4b4cd3963e8e8117b2478a2023-11-23T09:09:20ZengMDPI AGRemote Sensing2072-42922022-04-01149201710.3390/rs14092017Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across JapanNarumasa Tsutsumida0Nagai Shin1Tomoaki Miura2Geographic Information Science Laboratory, Department of Information and Computer Sciences, Graduate School of Science & Engineering, Saitama University, 255 Shimo-Okubo, Sakura Ward, Saitama 338-8570, JapanEarth Surface System Research Center, Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 3173-25 Showa-machi, Kanazawa-ku, Yokohama 236-0001, JapanEarth Surface System Research Center, Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 3173-25 Showa-machi, Kanazawa-ku, Yokohama 236-0001, JapanAutumn foliage color is an important phenological characteristic associated with climate and appeals to populations as a cultural ecosystem service (CES). Land surface phenology (LSP) analyzed using time-series remotely sensed imagery can facilitate the monitoring of autumn leaf color change (ALCC); however, the monitoring of autumn foliage by LSP approaches is still challenging because of complex spatio-temporal ALCC patterns and observational uncertainty associated with remote sensing sensors. Here, we evaluated the performance of several LSP analysis approaches in estimation of LSP-based ALCCs against the ground-level autumn foliage information obtained from 758 sightseeing (high CES) sites across Japan. The ground information uniquely collected by citizens represented ALCC stages of greening, early, peak, late, and defoliation collected on a daily basis. The ALCC was estimated using a second derivative approach, in which normalized difference vegetation index (NDVI), kernel normalized difference vegetation index (kNDVI), enhanced vegetation index (EVI), two-band enhanced vegetation index (EVI2), and green red vegetation index (GRVI) were applied based on MODerate resolution Imaging Spectroradiometer (MODIS) MOD09A1 with four (Beck, Elmore, Gu, and Zhang) double logistic smoothing methods in 2020. The results revealed inconsistency in the estimates obtained using different analytical methods; those obtained using EVI with the Beck model estimated the peak stage of the ALCC relatively well, while the estimates obtained using other indices and models had high discrepancies along with uncertainty. Our study provided insights on how the LSP approach can be improved toward mapping the CESs offered by autumn foliage.https://www.mdpi.com/2072-4292/14/9/2017autumn senescenceautumn foliageland surface phenologyMODIS time-seriescultural ecosystem services |
| spellingShingle | Narumasa Tsutsumida Nagai Shin Tomoaki Miura Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan Remote Sensing autumn senescence autumn foliage land surface phenology MODIS time-series cultural ecosystem services |
| title | Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan |
| title_full | Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan |
| title_fullStr | Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan |
| title_full_unstemmed | Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan |
| title_short | Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan |
| title_sort | evaluation of land surface phenology for autumn leaf color change based on citizen reports across japan |
| topic | autumn senescence autumn foliage land surface phenology MODIS time-series cultural ecosystem services |
| url | https://www.mdpi.com/2072-4292/14/9/2017 |
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