Land surface phenologies and seasonalities using cool earthlight in mid-latitude croplands
Phenology deals with timing of biotic phenomena and seasonality concerns temporal patterns of abiotic variables. Studies of land surface phenology (LSP) and land surface seasonality (LSS) have long been limited to visible to near infrared (VNIR) wavelengths, despite degradation by atmospheric effect...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2013-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/8/4/045002 |
| _version_ | 1797747982123139072 |
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| author | W G Alemu G M Henebry |
| author_facet | W G Alemu G M Henebry |
| author_sort | W G Alemu |
| collection | DOAJ |
| description | Phenology deals with timing of biotic phenomena and seasonality concerns temporal patterns of abiotic variables. Studies of land surface phenology (LSP) and land surface seasonality (LSS) have long been limited to visible to near infrared (VNIR) wavelengths, despite degradation by atmospheric effects and solar illumination constraints. Enhanced land surface parameters derived from passive microwave data enable improved temporal monitoring of agricultural land surface dynamics compared to the vegetation index data available from VNIR data. LSPs and LSSs in grain growing regions of the Volga River Basin of Russia and the spring wheat belts of the USA and Canada were characterized using AMSR-E enhanced land surface parameters for the period from April through October for 2003 through 2010. Growing degree-days (GDDs) were calculated from AMSR-E air temperature retrievals using both ascending and descending passes with a base of 0 ° C and then accumulated (AGDD) with an annual restart each 1 April. Tracking the AMSR-E parameters as a function of AGDD revealed the expected seasonal pattern of thermal limitation in mid-latitude croplands. Vegetation optical depth (VOD), a microwave analog of a vegetation index, was modeled as a function of AGDD with the resulting fitted convex quadratic models yielding both high coefficients of determination ( r ^2 > 0.90) and phenometrics that could characterize cropland differences between the Russian and North American sites. The AMSR-E data were also able to capture the effects of the 2010 heat wave that devastated grain production in European Russia. These results showed the potential of AMSR-E in monitoring and modeling cropland dynamics. |
| first_indexed | 2024-03-12T15:59:24Z |
| format | Article |
| id | doaj.art-34ecc10b45714521beced92cfcd8cd4a |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:59:24Z |
| publishDate | 2013-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-34ecc10b45714521beced92cfcd8cd4a2023-08-09T14:42:58ZengIOP PublishingEnvironmental Research Letters1748-93262013-01-018404500210.1088/1748-9326/8/4/045002Land surface phenologies and seasonalities using cool earthlight in mid-latitude croplandsW G Alemu0G M Henebry1Geospatial Sciences Center of Excellence, South Dakota State University , 1021 Medary Avenue, Wecota Hall 506B, Brookings, SD 57007-3510, USAGeospatial Sciences Center of Excellence, South Dakota State University , 1021 Medary Avenue, Wecota Hall 506B, Brookings, SD 57007-3510, USAPhenology deals with timing of biotic phenomena and seasonality concerns temporal patterns of abiotic variables. Studies of land surface phenology (LSP) and land surface seasonality (LSS) have long been limited to visible to near infrared (VNIR) wavelengths, despite degradation by atmospheric effects and solar illumination constraints. Enhanced land surface parameters derived from passive microwave data enable improved temporal monitoring of agricultural land surface dynamics compared to the vegetation index data available from VNIR data. LSPs and LSSs in grain growing regions of the Volga River Basin of Russia and the spring wheat belts of the USA and Canada were characterized using AMSR-E enhanced land surface parameters for the period from April through October for 2003 through 2010. Growing degree-days (GDDs) were calculated from AMSR-E air temperature retrievals using both ascending and descending passes with a base of 0 ° C and then accumulated (AGDD) with an annual restart each 1 April. Tracking the AMSR-E parameters as a function of AGDD revealed the expected seasonal pattern of thermal limitation in mid-latitude croplands. Vegetation optical depth (VOD), a microwave analog of a vegetation index, was modeled as a function of AGDD with the resulting fitted convex quadratic models yielding both high coefficients of determination ( r ^2 > 0.90) and phenometrics that could characterize cropland differences between the Russian and North American sites. The AMSR-E data were also able to capture the effects of the 2010 heat wave that devastated grain production in European Russia. These results showed the potential of AMSR-E in monitoring and modeling cropland dynamics.https://doi.org/10.1088/1748-9326/8/4/045002microwavesphenologyremote sensingAMSR-Econvex quadratic modelEuropean Russia |
| spellingShingle | W G Alemu G M Henebry Land surface phenologies and seasonalities using cool earthlight in mid-latitude croplands Environmental Research Letters microwaves phenology remote sensing AMSR-E convex quadratic model European Russia |
| title | Land surface phenologies and seasonalities using cool earthlight in mid-latitude croplands |
| title_full | Land surface phenologies and seasonalities using cool earthlight in mid-latitude croplands |
| title_fullStr | Land surface phenologies and seasonalities using cool earthlight in mid-latitude croplands |
| title_full_unstemmed | Land surface phenologies and seasonalities using cool earthlight in mid-latitude croplands |
| title_short | Land surface phenologies and seasonalities using cool earthlight in mid-latitude croplands |
| title_sort | land surface phenologies and seasonalities using cool earthlight in mid latitude croplands |
| topic | microwaves phenology remote sensing AMSR-E convex quadratic model European Russia |
| url | https://doi.org/10.1088/1748-9326/8/4/045002 |
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