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Journal articles on the topic 'Planet NICFI'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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9

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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10

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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11

Nielsen, Eric L., Michael C. Liu, Zahed Wahhaj, Beth A. Biller, and Thomas L. Hayward. "The Gemini NICI Planet-Finding Campaign: The Frequency of Giant Planets around Young B and A Stars." Proceedings of the International Astronomical Union 8, S299 (2013): 60–61. http://dx.doi.org/10.1017/s1743921313007874.

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AbstractWe have carried out high contrast imaging of 70 young, nearby B and A stars to search for brown dwarf and planetary companions as part of the Gemini NICI Planet-Finding Campaign. Our survey represents the largest, deepest survey for planets around high-mass stars (≈1.5–2.5 M⊙) conducted to date and includes the planet hosts β Pic and Fomalhaut. Despite detecting two new brown dwarfs, our observations did not detect new planets around our target stars, and we present upper limits on the fraction of high-mass stars that can host giant planets that are consistent with our null result.

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12

Biller, Beth A., Michael C. Liu, Zahed Wahhaj, et al. "THE GEMINI/NICI PLANET-FINDING CAMPAIGN: THE FREQUENCY OF PLANETS AROUND YOUNG MOVING GROUP STARS." Astrophysical Journal 777, no. 2 (2013): 160. http://dx.doi.org/10.1088/0004-637x/777/2/160.

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13

Nielsen, Eric L., Michael C. Liu, Zahed Wahhaj, et al. "THE GEMINI NICI PLANET-FINDING CAMPAIGN: THE FREQUENCY OF GIANT PLANETS AROUND YOUNG B AND A STARS." Astrophysical Journal 776, no. 1 (2013): 4. http://dx.doi.org/10.1088/0004-637x/776/1/4.

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14

Hayward, Thomas L., Beth A. Biller, Michael C. Liu, et al. "Astrometric Calibration of the Gemini NICI Planet-Finding Campaign1." Publications of the Astronomical Society of the Pacific 126, no. 946 (2014): 1112–25. http://dx.doi.org/10.1086/679508.

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15

Wahhaj, Zahed, Michael C. Liu, Beth A. Biller, et al. "THE GEMINI NICI PLANET-FINDING CAMPAIGN: THE COMPANION DETECTION PIPELINE." Astrophysical Journal 779, no. 1 (2013): 80. http://dx.doi.org/10.1088/0004-637x/779/1/80.

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16

Salter, Graeme S., Chris G. Tinney, Robert A. Wittenmyer, James S. Jenkins, Hugh R. A. Jones, and Simon J. O'Toole. "Direct Imaging Of Long Period Radial Velocity Targets With NICI." Proceedings of the International Astronomical Union 8, S299 (2013): 66–67. http://dx.doi.org/10.1017/s1743921313007904.

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AbstractWe are finally entering an era where radial velocity and direct imaging parameter spaces are starting to overlap. Radial velocity measurements provide us with a minimum mass for an orbiting companion (the mass as a function of the inclination of the system). By following up these long period radial velocity detections with direct imaging we can determine whether a trend seen is due to an orbiting planet at low inclination or an orbiting brown dwarf at high inclination. In the event of a non-detection we are still able to put a limit on the maximum mass of the orbiting body. The Anglo-A

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17

Biller, Beth A., Michael C. Liu, Ken Rice, et al. "The Gemini NICI Planet-Finding Campaign: asymmetries in the HD 141569 disc." Monthly Notices of the Royal Astronomical Society 450, no. 4 (2015): 4446–57. http://dx.doi.org/10.1093/mnras/stv870.

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18

Wahhaj, Zahed, Michael C. Liu, Beth A. Biller, et al. "The Gemini NICI planet-finding campaign: The offset ring of HR 4796 A." Astronomy & Astrophysics 567 (July 2014): A34. http://dx.doi.org/10.1051/0004-6361/201323335.

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19

Keppler, M., M. Benisty, A. Müller, et al. "Discovery of a planetary-mass companion within the gap of the transition disk around PDS 70." Astronomy & Astrophysics 617 (September 2018): A44. http://dx.doi.org/10.1051/0004-6361/201832957.

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Context. Young circumstellar disks are the birthplaces of planets. Their study is of prime interest to understand the physical and chemical conditions under which planet formation takes place. Only very few detections of planet candidates within these disks exist, and most of them are currently suspected to be disk features. Aims. In this context, the transition disk around the young star PDS 70 is of particular interest, due to its large gap identified in previous observations, indicative of ongoing planet formation. We aim to search for the presence of an embedded young planet and search for

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20

Boccaletti, A., A. M. Lagrange, E. Pantin, J. C. Augereau, S. P. Quanz, and H. Meheut. "The multiple spirals in the disk of HD100546." Proceedings of the International Astronomical Union 8, S299 (2013): 208–9. http://dx.doi.org/10.1017/s174392131300834x.

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AbstractWe report the detection of multi-armed spirals in the environment of HD 100546 using NICI at Gemini South in the Ks band. These data feature a better angular resolution and higher contrast than previous HST images, which allows to resolve the former known spiral into a multiple pattern. An analytic model with a gravitational perturber is used to fit the spiral pattern. We derived limit of detections which set constraints on the discovered forming planet.

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21

Nielsen, Eric L., Michael C. Liu, Zahed Wahhaj та ін. "THE GEMINI NICI PLANET-FINDING CAMPAIGN: THE ORBIT OF THE YOUNG EXOPLANET β PICTORIS b". Astrophysical Journal 794, № 2 (2014): 158. http://dx.doi.org/10.1088/0004-637x/794/2/158.

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22

Nielsen, Eric L., Michael C. Liu, Zahed Wahhaj, et al. "THE GEMINI NICI PLANET-FINDING CAMPAIGN: DISCOVERY OF A MULTIPLE SYSTEM ORBITING THE YOUNG A STAR HD 1160." Astrophysical Journal 750, no. 1 (2012): 53. http://dx.doi.org/10.1088/0004-637x/750/1/53.

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23

Biller, Beth A., Michael C. Liu, Zahed Wahhaj, et al. "THE GEMINI NICI PLANET-FINDING CAMPAIGN: DISCOVERY OF A CLOSE SUBSTELLAR COMPANION TO THE YOUNG DEBRIS DISK STAR PZ Tel." Astrophysical Journal 720, no. 1 (2010): L82—L87. http://dx.doi.org/10.1088/2041-8205/720/1/l82.

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24

Currie, Thayne, Takayuki Muto, Tomoyuki Kudo, et al. "RECOVERY OF THE CANDIDATE PROTOPLANET HD 100546 b WITH GEMINI/NICI AND DETECTION OF ADDITIONAL (PLANET-INDUCED?) DISK STRUCTURE AT SMALL SEPARATIONS." Astrophysical Journal 796, no. 2 (2014): L30. http://dx.doi.org/10.1088/2041-8205/796/2/l30.

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25

Wahhaj, Zahed, Michael C. Liu, Beth A. Biller, et al. "THE GEMINI NICI PLANET-FINDING CAMPAIGN: DISCOVERY OF A SUBSTELLAR L DWARF COMPANION TO THE NEARBY YOUNG M DWARF CD–35 2722." Astrophysical Journal 729, no. 2 (2011): 139. http://dx.doi.org/10.1088/0004-637x/729/2/139.

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26

Szigethy, A., Z. Á. Nagy, A. M. Vettraino, et al. "First Report of Phytophthora × pelgrandis Causing Root Rot and Lower Stem Necrosis of Common Box, Lavender and Port-Orford-Cedar in Hungary." Plant Disease 97, no. 1 (2013): 152. http://dx.doi.org/10.1094/pdis-07-12-0662-pdn.

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In 2008 and 2009, necrotic bark lesions at the root collar and lower stem associated with root rot, reduced growth, and wilting were observed on container-grown common box (Buxus sempervirens L.), lavender (Lavandula angustifolia Mill. ‘Hidcote’), and Port-Orford-cedar (Chamaecyparis lawsoniana (A. Murray) Parl. ‘Columnaris’) in three ornamental nurseries in western Hungary. Number of affected plants ranged from approximately 100 (Port-Orford-cedar) to 250 (lavender). Isolations from necrotic root collars of each host plant species yielded four Phytophthora isolates developing uniform colonies

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27

Zhang, Yihang, Xia Wang, Xiaodong Li, Yun Du, and Peter M. Atkinson. "Planet NICFI monthly tropical humid forest disturbance map in 2021 for Cameroon." August 19, 2023. https://doi.org/10.5281/zenodo.7180264.

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The 5-m monthly tropical humid forest disturbance map in 2021 for Cameroon was produced from Norway's International Climate and Forest Initiative (NICFI) Planet images in 2021 and the primary Humid forest cover map in 2020 by using a method proposed by us.  "Planet_NICFI_monthlyLog2021_CAM_possible.tif" is the possible monthly tropical humid forest disturbance map, while "Planet_NICFI_monthlyLog2021_CAM_adjusted.tif" is the adjusted monthly tropical humid forest disturbance map in 2021 by eliminating many false positives

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28

de Carvalho, Osmar Luiz Ferreira, Osmar Abílio de Carvalho Júnior, Anesmar Olino de Albuquerque, Maria Clara Correia Nogueira Mota, Éder de Souza Martins, and Daniel Guerreiro e Silva. "Detecting evolutionary stages of karst depressions in Central Brazil with deep learning and Planet NICFI time series." Earth Surface Processes and Landforms 50, no. 2 (2025). https://doi.org/10.1002/esp.70007.

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AbstractKarst depressions represent significant geomorphological features crucial in environmental monitoring and conservation. This research aims to detect and classify karst depressions according to their evolutionary stages in the Bambuí Group, located between the Cerrado and Caatinga biomes in Central Brazil, using Planet time series provided by Norway's International Climate and Forest Initiative (NICFI) Satellite Data Program and deep learning‐based semantic segmentation models. A new deep learning training dataset was developed containing manually labelled reference data and a time seri

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29

Fauzi, Adam Irwansyah, Markus Immitzer, and Clement Atzberger. "Exploring new mangrove horizons: A scalable remote sensing approach with Planet-NICFI and Sentinel-2 images." Ecological Informatics, April 2025, 103152. https://doi.org/10.1016/j.ecoinf.2025.103152.

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30

Yang, Feng, Xin Jiang, Alan D. Ziegler, et al. "Improved fine-scale tropical forest cover mapping for Southeast Asia using Planet-NICFI and Sentinel-1 imagery." Journal of Remote Sensing, July 24, 2023. http://dx.doi.org/10.34133/remotesensing.0064.

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31

Aabeyir, Raymond, Kenneth Peprah, and Amos Amponsah. "Temporal analysis of the state of the Gbele Resource Reserve in the Upper West Region, Ghana." Frontiers in Forests and Global Change 7 (March 25, 2024). http://dx.doi.org/10.3389/ffgc.2024.1353852.

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IntroductionThis paper assessed the changes in the forest cover of the Gbele Resource Reserve from 1990 to 2020. This provides a basis for strengthening management decisions to protect the resources in the Gbele Resource Reserve effectively.MethodsLandsat images for 1990, 2000, 2010 and 2020 were obtained from the United States Geological Service site. They were processed and classified in the System for Earth Observation Data Access, Processing, &amp; Analysis for Land Monitoring (SEPAL), a web-based cloud computing platform. The accuracy of the images was assessed using 50 ground-truth p

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