Academic literature on the topic 'Planet NICFI'

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Journal articles on the topic "Planet NICFI"

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Yang, Feng, and Zhenzhong Zeng. "Refined fine-scale mapping of tree cover using time series of Planet-NICFI and Sentinel-1 imagery for Southeast Asia (2016–2021)." Earth System Science Data 15, no. 9 (2023): 4011–21. http://dx.doi.org/10.5194/essd-15-4011-2023.

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Abstract. High-resolution mapping of tree cover is indispensable for effectively addressing tropical forest carbon loss, climate warming, biodiversity conservation and sustainable development. However, the availability of precise, high-resolution tree cover map products remains inadequate due to the inherent limitations of mapping techniques utilizing medium- to coarse-resolution satellite imagery, such as Landsat and Sentinel-2 imagery. In this study, we have generated an annual tree cover map product at a resolution of 4.77 m for Southeast Asia (SEA) for the years 2016–2021 by integrating No
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Dalagnol, Ricardo, Fabien Hubert Wagner, Lênio Soares Galvão, et al. "Mapping tropical forest degradation with deep learning and Planet NICFI data." Remote Sensing of Environment 298 (December 2023): 113798. http://dx.doi.org/10.1016/j.rse.2023.113798.

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Aulia, Ogy Dwi, Isnenti Apriani, Andi Juanda, et al. "Refining National Forest Cover Data Based on Fusion Optical Satellite Imageries in Indonesia." International Journal of Forestry Research 2023 (August 17, 2023): 1–11. http://dx.doi.org/10.1155/2023/7970664.

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Precision mapping towards tropical forest cover data is critical to address the global climate crisis, such as land-based carbon measurement and potential conservation areas identification. In the recent decade, accessibility to open public datasets on forestry is rapidly increased. However, the availability of finer-resolution of forest cover data is still very limited. As a developing country with numerous rainforests, Indonesia suffered multifaceted threats, particularly deforestation. Thus, precise forest cover data can be useful to fulfill Indonesia’s nationally determined contribution to
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Zhang, Yihang, Xia Wang, Xiaodong Li, Yun Du, and Peter M. Atkinson. "Monitoring monthly tropical humid forest disturbances with Planet NICFI images in Cameroon." Agricultural and Forest Meteorology 341 (October 2023): 109676. http://dx.doi.org/10.1016/j.agrformet.2023.109676.

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Wagner, Fabien H., Ricardo Dalagnol, Celso H. L. Silva-Junior, et al. "Mapping Tropical Forest Cover and Deforestation with Planet NICFI Satellite Images and Deep Learning in Mato Grosso State (Brazil) from 2015 to 2021." Remote Sensing 15, no. 2 (2023): 521. http://dx.doi.org/10.3390/rs15020521.

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Monitoring changes in tree cover for assessment of deforestation is a premise for policies to reduce carbon emission in the tropics. Here, a U-net deep learning model was used to map monthly tropical tree cover in the Brazilian state of Mato Grosso between 2015 and 2021 using 5 m spatial resolution Planet NICFI satellite images. The accuracy of the tree cover model was extremely high, with an F1-score >0.98, further confirmed by an independent LiDAR validation showing that 95% of tree cover pixels had a height >5 m while 98% of non-tree cover pixels had a height <5 m. The biannual map
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Zambrano, Jessika, and Eliana Lima da Fonseca. "Neighborhood variations in urban green cover patterns in Bogotá (Colombia) estimated by NICFI-Planet images." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-3-2024 (November 7, 2024): 609–14. http://dx.doi.org/10.5194/isprs-archives-xlviii-3-2024-609-2024.

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Abstract. To achieve a more green city in the shortest possible time, joint work between government and society is necessary and this work intend to contribute with scientific basis to support the expansion of urban greens areas in Bogota DC. We analyzed the spatial and the social distribution of urban greens and their variations inside of Bogotá urban areas, between years 2019 and 2023, based on NICFI-Planet images. The Normalized Difference Vegetation Index (NDVI) was calculated for each monthly cloud-free mosaics over Bogota DC. and a NDVI Maximum Value Composite (NDVI-MVC) image was calcul
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Quyen, D. T., and V. A. Malinnikov. "Classification of estuaries and coastal wetlands from Planet-NICFI imagery based on convolutional neural networks and transfer training." Geodesy and Cartography 1008, no. 6 (2024): 31–42. http://dx.doi.org/10.22389/0016-7126-2024-1008-6-31-42.

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The authors consider the importance of monitoring coastal wetland ecosystems, negatively impacted by human activities and climate change. In this context, artificial intelligence neural networks are applied to classify this type of wetland. However, they encounter a task that requires extensive volume of training data to achieve high accuracy results. Within the conducted research, a method of transfer training from neural networks is proposed to overcome the aforementioned problem. The developed model combines multi-temporal Planet-NICFI satellite images for classifying coastal wetlands, espe
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Yupanqui Carrasco, Osmar, Juan Ruben Julca Torres, and Erick Valerio Candia. "Estimación de la superficie cultivada de Palma Aceitera mediante interpretación visual de imágenes satelitales durante los años 2016-2020." Xilema 31, no. 1 (2021): 32–45. http://dx.doi.org/10.21704/x.v31i1.1781.

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Actualmente en el Perú no existe una cifra oficial sobre la cantidad exacta de hectáreas de palma aceitera (Elaeis guineensis Jacq.), por ello, este trabajo apunta a generar información sobre el aumento del cultivo desde el año 2016 hasta el 2020, en las regiones de Ucayali, San Martín, Huánuco y Loreto, mediante la interpretación visual de las imágenes satelitales bianuales y mensuales pantropicales de Planet NICFI, junto con el uso del software QGIS 3.10.2 y la extensión (plugin) Planet. En total, se encontraron 85 122,95 ha en el año 2016; 86 866,18 ha en el año 2017; 91 357,80 ha en el año
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Phạm, Hoàng Tú, Thị Hồng Điệp Nguyễn та Trọng Nguyễn Nguyễn. "Ứng dụng ảnh viễn thám độ phân giải cao thành lập bản đồ hiện trạng cây ăn trái tại huyện Chợ Lách, tỉnh Bến Tre". CTU Journal of Science 61 (23 квітня 2025): 190–98. https://doi.org/10.22144/ctujos.2025.069.

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Nghiên cứu sử dụng dữ liệu ảnh vệ tinh độ phân giải cao từ Google Satellite và Planet Nicfi kết hợp phương pháp phân loại theo hướng đối tượng (OBIA) - thuật toán máy vector hỗ trợ (SVM) để xây dựng bản đồ hiện trạng cây ăn trái tại huyện Chợ Lách, tỉnh Bến Tre năm 2024. Kết quả phân loại đạt độ tin cậy cao với độ chính xác toàn cục và hệ số Kappa lần lượt là 92,6% và 0,9. Sầu riêng là loại cây trồng chiếm diện tích lớn nhất với 5.388,9 ha (32,0% tổng diện tích tự nhiên), tiếp theo là vườn ươm giống (19,6%), chôm chôm (11,9%) và dừa (7,4%). Kết quả nghiên cứu cung cấp thông tin chi tiết về hiệ
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Nielsen, Eric L., Michael C. Liu, Zahed Wahhaj, et al. "Mapping the Distributions of Exoplanet Populations with NICI and GPI." Proceedings of the International Astronomical Union 10, S314 (2015): 220–25. http://dx.doi.org/10.1017/s1743921315006572.

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AbstractWhile more and more long-period giant planets are discovered by direct imaging, the distribution of planets at these separations (≳5 AU) has remained largely uncertain, especially compared to planets in the inner regions of solar systems probed by RV and transit techniques. The low frequency, the detection challenges, and heterogeneous samples make determining the mass and orbit distributions of directly imaged planets at the end of a survey difficult. By utilizing Monte Carlo methods that incorporate the age, distance, and spectral type of each target, we can use all stars in the surv
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Books on the topic "Planet NICFI"

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Lightbourne, Muriel. Nichi-Bei-Ō ni okeru shokubutsu hogo to chiteki zaisanken. Chiteki Zaisan Kenkyūjo, 2005.

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Prefecture), Kyoto (Japan :. Kyōto-fu chiiki bōsai keikaku.: Shōwa 56-nen 6-gatsu 12-nichi seitei ... Heisei 16-nen 5-gatsu 31-nichi shūsei. Kyōto-fu Bōsai Kaigi, 2004.

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Prefecture), Kyoto (Japan :. Kyōto-fu chiiki bōsai keikaku.: Heisei 12-nen 5-gatsu 29-nichi seitei ... Heisei 16-nen 5-gatsu 31-nichi shūsei. Kyōto-fu Bōsai Kaigi, 2004.

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Kenkyūjo), Ion Bīmu Seibutsu Ōyō Wākushoppu (2nd 2004 Nihon Genshiryoku Kenkyūjo Takasaki. Dai 2-kai Ion Bīmu Seibutsu Ōyō Wākushoppu ronbunshū: 2003-nen 11-gatsu 21-nichi, Takasaki Kenkyūjo. Nihon Genshiryoku Kenkyūjo, 2004.

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Hosono, Gōshi. Shōgen: "genpatsu kiki 500-nichi" no shinjitsu ni Torigoe Shuntarō ga semaru. Kōdansha, 2012.

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NUCEF Seminā (6th 2003 Nihon Genshiryoku Kenkyūjo Tōkai Kenkyūjo). Dai 6-kai NUCEF Seminā kōen hōbunshū: 2003-nen 2-gatsu 20-nichi, Tōkai Kenkyūjo, Tōkai-mura. Nihon Genshiryoku Kenkyūjo, 2003.

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NUCEF Seminā (7th 2004 Nihon Genshiryoku Kenkyūjo Tōkai Kenkyūjo). Dai 7-kai NUCEF Seminā kōen hōbunshū: 2004-nen 2-gatsu 20-nichi, Tōkai Kenkyūjo, Tōkai-mura. Nihon Genshiryoku Kenkyūjo, 2004.

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Sentā), Fukui-ken Genshiryoku Kankyō Anzen Kanri Kyōgikai (178th 2012 Fukui Genshiryoku. Dai 178-kai Fukui-ken Genshiryoku Kankyō Anzen Kanri Kyōgikai: Heisei 24-nen 3-gatsu 27-nichi kaisai : shiryō ichiran. Kokuritsu Kokkai Toshokan, 2012.

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Sentā), Fukui-ken Genshiryoku Kankyō Anzen Kanri Kyōgikai (180th 2012 Fukui Genshiryoku. Dai 180-kai Fukui-ken Genshiryoku Kankyō Anzen Kanri Kyōgikai: Heisei 24-nen 10-gatsu 22-nichi kaisai : shiryō ichiran. Fukui-ken Genshiryoku Kankyō Anzen Kanri Kyōgikai], 2012.

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Sentā), Fukui-ken Genshiryoku Kankyō Anzen Kanri Kyōgikai (176th 2011 Fukui Genshiryoku. Dai 176-kai Fukui-ken Genshiryoku Kankyō Anzen Kanri Kyōgikai: Heisei 23-nen 10-gatsu 31-nichi kaisai : shiryō ichiran. Kokuritsu Kokkai Toshokan, 2011.

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Book chapters on the topic "Planet NICFI"

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Chavula, Hopestone Kayiska, and Abebe Chekol. "ICT Policy Development Process in Africa." In Technology, Sustainability, and Rural Development in Africa. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3607-1.ch017.

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This chapter reviews the information and communication technology (ICT) policy development process in Africa and assesses to what extent African countries have taken on board ICT issues in their overall national development policies and plans. It is argued that African countries lag behind in technological issues hence negatively affecting the overall development of the continent due to their inability to recognize the critical role played by ICTs in overall national development issues. The chapter emphasizes the significance of mainstreaming ICT policies and strategies in the overall developm
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Chavula, Hopestone Kayiska, and Abebe Chekol. "ICT Policy Development Process in Africa." In Handbook of Research on Information Communication Technology Policy. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61520-847-0.ch016.

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This chapter reviews the information and communication technology (ICT) policy development process in Africa and assesses to what extent African countries have taken on board ICT issues in their overall national development policies and plans. It is argued that African countries lag behind in technological issues hence negatively affecting the overall development of the continent due to their inability to recognize the critical role played by ICTs in overall national development issues. The chapter emphasizes the significance of mainstreaming ICT policies and strategies in the overall developm
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Vesey, Alyxandra. "Capturing Her Essence." In Extending Play. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780190085636.003.0003.

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Abstract Chapter 2 identifies female pop stars’ work as fragrance spokeswomen in the twenty-first century’s first decade as a tipping point for collaborative music merchandise. Celebrity perfumes began to emerge in the late 1980s as a way for older customers to access the mature moneyed glamour of legends like actress Elizabeth Taylor and pop diva Cher. However, by the early 2000s the fragrance industry began to exploit pop stars’ fragmented feminine subjectivities and convergent celebrity to sell flankers, or repackaged modifications of signature scents, to younger fans at a lower price point
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Conference papers on the topic "Planet NICFI"

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Keawsomsee, Surasak, and Sakpod Tongleamnak. "Assessment of aboveground biomass and carbon stock of rubber plantation using random forest regression with satellite imagery data from Planet NICFI and GEDI data." In 2024 28th International Computer Science and Engineering Conference (ICSEC). IEEE, 2024. https://doi.org/10.1109/icsec62781.2024.10770717.

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Liu, Michael C., Zahed Wahhaj, Beth A. Biller, et al. "The Gemini NICI Planet-Finding Campaign." In SPIE Astronomical Telescopes + Instrumentation, edited by Brent L. Ellerbroek, Michael Hart, Norbert Hubin, and Peter L. Wizinowich. SPIE, 2010. http://dx.doi.org/10.1117/12.858358.

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Liu, Michael C., Zahed Wahhaj, Beth Biller, et al. "The Gemini NICI Planet-Finding Campaign." In COOL STARS, STELLAR SYSTEMS AND THE SUN: Proceedings of the 15th Cambridge Workshop on Cool Stars, Stellar Systems and the Sun. AIP, 2009. http://dx.doi.org/10.1063/1.3099148.

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Biller, Beth A., Michael C. Liu, Zahed Wahhaj, et al. "Results from the Gemini NICI Planet-Finding Campaign." In SPIE Astronomical Telescopes + Instrumentation, edited by Enrico Marchetti, Laird M. Close, and Jean-Pierre Véran. SPIE, 2014. http://dx.doi.org/10.1117/12.2057339.

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Biller, Beth, Étienne Artigau, Zahed Wahhaj, et al. "Observing Strategies for the NICI Campaign to Directly Image Extrasolar Planets." In COOL STARS, STELLAR SYSTEMS AND THE SUN: Proceedings of the 15th Cambridge Workshop on Cool Stars, Stellar Systems and the Sun. AIP, 2009. http://dx.doi.org/10.1063/1.3099138.

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Biller, Beth, Étienne Artigau, Zahed Wahhaj, et al. "Observing strategies for the NICI campaign to directly image extrasolar planets." In SPIE Astronomical Telescopes + Instrumentation, edited by Norbert Hubin, Claire E. Max, and Peter L. Wizinowich. SPIE, 2008. http://dx.doi.org/10.1117/12.789565.

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