A Review of Agricultural Film Mapping: Current Status, Challenges, and Future Directions
Agricultural film plays a vital role in enhancing land productivity. However, concerns have arisen regarding its impact on ecology and soil environment. Accurate and timely agricultural film maps are critical for supporting strategic agricultural planning and predicting environmental impacts. In thi...
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| Format: | Article |
| Language: | English |
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American Association for the Advancement of Science (AAAS)
2025-01-01
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| Series: | Journal of Remote Sensing |
| Online Access: | https://spj.science.org/doi/10.34133/remotesensing.0395 |
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| author | Mengmeng Zhang Jinwei Dong Quansheng Ge Hasituya Pengyu Hao |
| author_facet | Mengmeng Zhang Jinwei Dong Quansheng Ge Hasituya Pengyu Hao |
| author_sort | Mengmeng Zhang |
| collection | DOAJ |
| description | Agricultural film plays a vital role in enhancing land productivity. However, concerns have arisen regarding its impact on ecology and soil environment. Accurate and timely agricultural film maps are critical for supporting strategic agricultural planning and predicting environmental impacts. In this paper, we summarized the current status of agricultural film mapping, including plastic greenhouses (PGs) and plastic-mulched farmland (PMF), from the evolution of remote sensing data, sample sources, spectral-temporal-spatial features, and advantages and disadvantages of classification algorithms. The findings revealed that medium- and low-resolution images were used for large-scale PGs and PMF mapping, while high-resolution images were combined with deep learning to extract local deep information. The synergy between the spectral, temporal, and spatial features can definitely improve classification accuracy, especially through object-based classification methods. Deep learning has apparent advantages than traditional machine learning algorithms in extracting PGs details, rarely used for mapping PMF. There are some problems, i.e., the diversity of film types, the difference of coverage time, and the variation of spectral properties, which lead to the scarcity of large-scale PGs and PMF maps despite numerous efforts in agricultural film mapping. To advance the field, future directions should focus on combining multi-source data, collaborating spectral-temporal-spatial features to extract types, start-end dates, and durations of mulching, and expanding from local to national or global scales. The accurate and timely agricultural film maps are expected to support effective land management, rationalize human land use behavior, and inform policy formulation for environmental sustainability. |
| format | Article |
| id | doaj-art-7ceaa0fa6d6c44de946e1b537583a8f2 |
| institution | Kabale University |
| issn | 2694-1589 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | Article |
| series | Journal of Remote Sensing |
| spelling | doaj-art-7ceaa0fa6d6c44de946e1b537583a8f22025-01-30T08:00:26ZengAmerican Association for the Advancement of Science (AAAS)Journal of Remote Sensing2694-15892025-01-01510.34133/remotesensing.0395A Review of Agricultural Film Mapping: Current Status, Challenges, and Future DirectionsMengmeng Zhang0Jinwei Dong1Quansheng Ge2Hasituya3Pengyu Hao4Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.Inner Mongolia Key Laboratory of Soil Quality and Nutrient Resource, College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot 010011, China.The Digital and Information Technology Service Division, Food and Agriculture Organization of the United Nations, Rome, Italy.Agricultural film plays a vital role in enhancing land productivity. However, concerns have arisen regarding its impact on ecology and soil environment. Accurate and timely agricultural film maps are critical for supporting strategic agricultural planning and predicting environmental impacts. In this paper, we summarized the current status of agricultural film mapping, including plastic greenhouses (PGs) and plastic-mulched farmland (PMF), from the evolution of remote sensing data, sample sources, spectral-temporal-spatial features, and advantages and disadvantages of classification algorithms. The findings revealed that medium- and low-resolution images were used for large-scale PGs and PMF mapping, while high-resolution images were combined with deep learning to extract local deep information. The synergy between the spectral, temporal, and spatial features can definitely improve classification accuracy, especially through object-based classification methods. Deep learning has apparent advantages than traditional machine learning algorithms in extracting PGs details, rarely used for mapping PMF. There are some problems, i.e., the diversity of film types, the difference of coverage time, and the variation of spectral properties, which lead to the scarcity of large-scale PGs and PMF maps despite numerous efforts in agricultural film mapping. To advance the field, future directions should focus on combining multi-source data, collaborating spectral-temporal-spatial features to extract types, start-end dates, and durations of mulching, and expanding from local to national or global scales. The accurate and timely agricultural film maps are expected to support effective land management, rationalize human land use behavior, and inform policy formulation for environmental sustainability.https://spj.science.org/doi/10.34133/remotesensing.0395 |
| spellingShingle | Mengmeng Zhang Jinwei Dong Quansheng Ge Hasituya Pengyu Hao A Review of Agricultural Film Mapping: Current Status, Challenges, and Future Directions Journal of Remote Sensing |
| title | A Review of Agricultural Film Mapping: Current Status, Challenges, and Future Directions |
| title_full | A Review of Agricultural Film Mapping: Current Status, Challenges, and Future Directions |
| title_fullStr | A Review of Agricultural Film Mapping: Current Status, Challenges, and Future Directions |
| title_full_unstemmed | A Review of Agricultural Film Mapping: Current Status, Challenges, and Future Directions |
| title_short | A Review of Agricultural Film Mapping: Current Status, Challenges, and Future Directions |
| title_sort | review of agricultural film mapping current status challenges and future directions |
| url | https://spj.science.org/doi/10.34133/remotesensing.0395 |
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