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Articles de revues sur le sujet « Digital repeat imagery phenology »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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1

Klosterman, S. T., K. Hufkens, J. M. Gray, et al. "Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery." Biogeosciences Discussions 11, no. 2 (2014): 2305–42. http://dx.doi.org/10.5194/bgd-11-2305-2014.

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Abstract. Plant phenology regulates ecosystem services at local and global scales and is a sensitive indicator of global change. Estimates of phenophase transition dates, such as the start of spring or end of autumn, can be derived from sensor-based time series data at the near-surface and remote scales, but must be interpreted in terms of biologically relevant events. We use the PhenoCam archive of digital repeat photography to implement a consistent protocol for visual assessment of canopy phenology at 13 temperate deciduous forest sites throughout eastern North America, as well as to perfor

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Moore, Caitlin E., Tim Brown, Trevor F. Keenan, et al. "Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography." Biogeosciences 13, no. 17 (2016): 5085–102. http://dx.doi.org/10.5194/bg-13-5085-2016.

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Abstract. Phenology is the study of periodic biological occurrences and can provide important insights into the influence of climatic variability and change on ecosystems. Understanding Australia's vegetation phenology is a challenge due to its diverse range of ecosystems, from savannas and tropical rainforests to temperate eucalypt woodlands, semi-arid scrublands, and alpine grasslands. These ecosystems exhibit marked differences in seasonal patterns of canopy development and plant life-cycle events, much of which deviates from the predictable seasonal phenological pulse of temperate deciduou

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Klosterman, S. T., K. Hufkens, J. M. Gray, et al. "Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery." Biogeosciences 11, no. 16 (2014): 4305–20. http://dx.doi.org/10.5194/bg-11-4305-2014.

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Abstract. Plant phenology regulates ecosystem services at local and global scales and is a sensitive indicator of global change. Estimates of phenophase transition dates, such as the start of spring or end of fall, can be derived from sensor-based time series, but must be interpreted in terms of biologically relevant events. We use the PhenoCam archive of digital repeat photography to implement a consistent protocol for visual assessment of canopy phenology at 13 temperate deciduous forest sites throughout eastern North America, and to perform digital image analysis for time-series-based estim

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Fraser, R. H., I. Olthof, M. Maloley, R. Fernandes, C. Prevost, and J. van der Sluijs. "UAV PHOTOGRAMMETRY FOR MAPPING AND MONITORING OF NORTHERN PERMAFROST LANDSCAPES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W4 (August 27, 2015): 361. http://dx.doi.org/10.5194/isprsarchives-xl-1-w4-361-2015.

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Northern environments are changing in response to recent climate warming, resource development, and natural disturbances. The Arctic climate has warmed by 2&ndash;3°C since the 1950’s, causing a range of cryospheric changes including declines in sea ice extent, snow cover duration, and glacier mass, and warming permafrost. The terrestrial Arctic has also undergone significant temperature-driven changes in the form of increased thermokarst, larger tundra fires, and enhanced shrub growth. Monitoring these changes to inform land managers and decision makers is challenging due to the vast spat

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Crimmins, Michael A., and Theresa M. Crimmins. "Monitoring Plant Phenology Using Digital Repeat Photography." Environmental Management 41, no. 6 (2008): 949–58. http://dx.doi.org/10.1007/s00267-008-9086-6.

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Songsom, Veeranun, Werapong Koedsin, Raymond J. Ritchie, and Alfredo Huete. "Mangrove Phenology and Water Influences Measured with Digital Repeat Photography." Remote Sensing 13, no. 2 (2021): 307. http://dx.doi.org/10.3390/rs13020307.

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The intertidal habitat of mangroves is very complex due to the dynamic roles of land and sea drivers. Knowledge of mangrove phenology can help in understanding mangrove growth cycles and their responses to climate and environmental changes. Studies of phenology based on digital repeat photography, or phenocams, have been successful in many terrestrial forests and other ecosystems, however few phenocam studies in mangrove forests showing the influence and interactions of water color and tidal water levels have been performed in sub-tropical and equatorial environments. In this study, we investi

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Atkins, Jeff W., Atticus E. L. Stovall, and Xi Yang. "Mapping Temperate Forest Phenology Using Tower, UAV, and Ground-Based Sensors." Drones 4, no. 3 (2020): 56. http://dx.doi.org/10.3390/drones4030056.

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Phenology is a distinct marker of the impacts of climate change on ecosystems. Accordingly, monitoring the spatiotemporal patterns of vegetation phenology is important to understand the changing Earth system. A wide range of sensors have been used to monitor vegetation phenology, including digital cameras with different viewing geometries mounted on various types of platforms. Sensor perspective, view-angle, and resolution can potentially impact estimates of phenology. We compared three different methods of remotely sensing vegetation phenology—an unoccupied aerial vehicle (UAV)-based, downwar

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Surasinghe, Thilina D., Kunwar K. Singh, and Lindsey S. Smart. "Leveraging Phenology to Assess Seasonal Variations of Plant Communities for Mapping Dynamic Ecosystems." Remote Sensing 17, no. 10 (2025): 1778. https://doi.org/10.3390/rs17101778.

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Seasonally dynamic plant communities present challenges for remote mapping, but estimating phenology can help identify periods of peak spectral distinction. While phenology is widely used in environmental and agricultural mapping, its broader ecological applications remain underexplored. Using a temperate wetland complex as a case study, we leveraged NDVI time series from Sentinel imagery to refine a wetland classification scheme by identifying periods of maximum plant community distinction. We estimated plant phenology with ground-reference points and mapped the study area using Random Forest

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Luo, Yunpeng, Tarek S. El-Madany, Gianluca Filippa, et al. "Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree–Grass Ecosystems." Remote Sensing 10, no. 8 (2018): 1293. http://dx.doi.org/10.3390/rs10081293.

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Tree–grass ecosystems are widely distributed. However, their phenology has not yet been fully characterized. The technique of repeated digital photographs for plant phenology monitoring (hereafter referred as PhenoCam) provide opportunities for long-term monitoring of plant phenology, and extracting phenological transition dates (PTDs, e.g., start of the growing season). Here, we aim to evaluate the utility of near-infrared-enabled PhenoCam for monitoring the phenology of structure (i.e., greenness) and physiology (i.e., gross primary productivity—GPP) at four tree–grass Mediterranean sites. W

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Linkosalmi, Maiju, Mika Aurela, Juha-Pekka Tuovinen, et al. "Digital photography for assessing the link between vegetation phenology and CO<sub>2</sub> exchange in two contrasting northern ecosystems." Geoscientific Instrumentation, Methods and Data Systems 5, no. 2 (2016): 417–26. http://dx.doi.org/10.5194/gi-5-417-2016.

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Abstract. Digital repeat photography has become a widely used tool for assessing the annual course of vegetation phenology of different ecosystems. By using the green chromatic coordinate (GCC) as a greenness measure, we examined the feasibility of digital repeat photography for assessing the vegetation phenology in two contrasting high-latitude ecosystems. Ecosystem–atmosphere CO2 fluxes and various meteorological variables were continuously measured at both sites. While the seasonal changes in GCC were more obvious for the ecosystem that is dominated by annual plants (open wetland), clear se

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Scott, Samantha L., Rick Rohde, and Timm Hoffman. "Repeat Landscape Photography, Historical Ecology and the Wonder of Digital Archives in Southern Africa." African Research & Documentation 131 (2017): 35–47. http://dx.doi.org/10.1017/s0305862x00022512.

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Environmental history projects using repeat photography often involve the acquisition of large collections of historical and current images, matching those images for comparative analysis, and then cataloguing and archiving the imagery for long-term storage and later use (Webb et ah, 2010). When used in combination with other techniques, repeat photography is an excellent tool for documenting change (Gruell, 2010) and has been used in a variety of disciplines, including historical ecology, to determine changes in plant populations, soil erosion, climate trends and ecological processes to name

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Scott, Samantha L., Rick Rohde, and Timm Hoffman. "Repeat Landscape Photography, Historical Ecology and the Wonder of Digital Archives in Southern Africa." African Research & Documentation 131 (2017): 35–47. http://dx.doi.org/10.1017/s0305862x00022512.

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Environmental history projects using repeat photography often involve the acquisition of large collections of historical and current images, matching those images for comparative analysis, and then cataloguing and archiving the imagery for long-term storage and later use (Webb et ah, 2010). When used in combination with other techniques, repeat photography is an excellent tool for documenting change (Gruell, 2010) and has been used in a variety of disciplines, including historical ecology, to determine changes in plant populations, soil erosion, climate trends and ecological processes to name

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ZHOU Lei, 周磊, 何洪林 HE Honglin, 孙晓敏 SUN Xiaomin, et al. "Using digital repeat photography to model winter wheat phenology and photosynthetic CO2uptake." Acta Ecologica Sinica 32, no. 16 (2012): 5146–53. http://dx.doi.org/10.5846/stxb201110271606.

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Fitchett, Jennifer M., Stefan W. Grab, and Dave I. Thompson. "Plant phenology and climate change." Progress in Physical Geography: Earth and Environment 39, no. 4 (2015): 460–82. http://dx.doi.org/10.1177/0309133315578940.

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Phenology, the timing of annually recurrent reproductive biological events, provides a critical signal of climate variability and change effects on plants. Considerable work over the past five decades has quantified the extent to which plant phenophases are responding to local changes in temperature and rainfall. Originally undertaken through the analysis of ground-based phenological observations, the discipline has more recently included phenophase indicators from satellite images and digital repeat photography. With research advances it has become evident that the responses of plant phenolog

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van Iersel, W. K., M. W. Straatsma, E. A. Addink, and H. Middelkoop. "MONITORING PHENOLOGY OF FLOODPLAIN GRASSLAND AND HERBACEOUS VEGETATION WITH UAV IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 569–71. http://dx.doi.org/10.5194/isprs-archives-xli-b7-569-2016.

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River restoration projects, which aim at improved flood safety and increased ecological value, have resulted in more heterogeneous vegetation. However, they also resulted in increasing hydraulic roughness, which leads to higher flood water levels during peak discharges. Due to allowance of vegetation development and succession, both ecological and hydraulic characteristics of the floodplain change more rapidly over time. Monitoring of floodplain vegetation has become essential to document and evaluate the changing floodplain characteristics and associated functioning. Extraction of characteris

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van Iersel, W. K., M. W. Straatsma, E. A. Addink, and H. Middelkoop. "MONITORING PHENOLOGY OF FLOODPLAIN GRASSLAND AND HERBACEOUS VEGETATION WITH UAV IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 569–71. http://dx.doi.org/10.5194/isprsarchives-xli-b7-569-2016.

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River restoration projects, which aim at improved flood safety and increased ecological value, have resulted in more heterogeneous vegetation. However, they also resulted in increasing hydraulic roughness, which leads to higher flood water levels during peak discharges. Due to allowance of vegetation development and succession, both ecological and hydraulic characteristics of the floodplain change more rapidly over time. Monitoring of floodplain vegetation has become essential to document and evaluate the changing floodplain characteristics and associated functioning. Extraction of characteris

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Keenan, T. F., B. Darby, E. Felts, et al. "Tracking forest phenology and seasonal physiology using digital repeat photography: a critical assessment." Ecological Applications 24, no. 6 (2014): 1478–89. http://dx.doi.org/10.1890/13-0652.1.

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Beamish, Alison L., Wiebe Nijland, Marc Edwards, Nicholas C. Coops, and Greg H. R. Henry. "Phenology and vegetation change measurements from true colour digital photography in high Arctic tundra." Arctic Science 2, no. 2 (2016): 33–49. http://dx.doi.org/10.1139/as-2014-0003.

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Manual collection of accurate phenology data is time-consuming and expensive. In this study, we investigate whether repeat colour digital photography can be used (1) to identify phenological patterns, (2) to identify differences in vegetation due to experimental warming and site moisture conditions, and (3) as a proxy for biomass. Pixel values (RGB) were extracted from images taken of permanent plots in long-term warming experiments in three tundra communities at a high Arctic site during one growing season. The Greenness Excess Index (GEI) was calculated from image data at the plot scale (1 ×

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Jorge, Catarina, João M. N. Silva, Joana Boavida-Portugal, Cristina Soares, and Sofia Cerasoli. "Using Digital Photography to Track Understory Phenology in Mediterranean Cork Oak Woodlands." Remote Sensing 13, no. 4 (2021): 776. http://dx.doi.org/10.3390/rs13040776.

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Monitoring vegetation is extremely relevant in the context of climate change, and digital repeat photography is a method that has gained momentum due to a low cost–benefit ratio. This work aims to demonstrate the possibility of using digital cameras instead of field spectroradiometers (FS) to track understory vegetation phenology in Mediterranean cork oak woodlands. A commercial camera was used to take monthly photographs that were processed with the Phenopix package to extract green chromatic coordinates (GCC). GCC showed good agreement with the normalized difference vegetation index (NDVI) a

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Noh, Myoung-Jong, and Ian M. Howat. "Analysis of PlanetScope Dove Digital Surface Model Accuracy Using Geometrically Simulated Images." Remote Sensing 15, no. 14 (2023): 3496. http://dx.doi.org/10.3390/rs15143496.

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Many objectives in geoscience and engineering require Earth surface elevations at greater temporospatial resolution and coverage than are currently available. This may be achieved with stereo imagery from large constellations of “small sats”, such as PlanetScope Doves. Obtaining Digital Surface Models (DSMs) of sufficient quality from these images is challenging due to their lower resolution and weaker stereo geometry relative to stereo mode satellites such as WorldView. The quality can be improved by utilizing their much larger numbers of repeat images, but this requires effective stereopair

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Różańska, Monika A., Kamila M. Harenda, Damian Józefczyk, Tomasz Wojciechowski, and Bogdan H. Chojnicki. "Digital Repeat Photography Application for Flowering Stage Classification of Selected Woody Plants." Sensors 25, no. 7 (2025): 2106. https://doi.org/10.3390/s25072106.

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Digital repeat photography is currently applied mainly in geophysical studies of ecosystems. However, its role as a tool that can be utilized in conventional phenology, tracking a plant’s seasonal developmental cycle, is growing. This study’s main goal was to develop an easy-to-reproduce, single-camera-based novel approach to determine the flowering phases of 12 woody plants of various deciduous species. Field observations served as binary class calibration datasets (flowering and non-flowering stages). All the image RGB parameters, designated for each plant separately, were used as plant feat

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Snyder, Keirith, Justin Huntington, Bryce Wehan, Charles Morton, and Tamzen Stringham. "Comparison of Landsat and Land-Based Phenology Camera Normalized Difference Vegetation Index (NDVI) for Dominant Plant Communities in the Great Basin." Sensors 19, no. 5 (2019): 1139. http://dx.doi.org/10.3390/s19051139.

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Phenology of plants is important for ecological interactions. The timing and development of green leaves, plant maturity, and senescence affects biophysical interactions of plants with the environment. In this study we explored the agreement between land-based camera and satellite-based phenology metrics to quantify plant phenology and phenophases dates in five plant community types characteristic of the semi-arid cold desert region of the Great Basin. Three years of data were analyzed. We calculated the Normalized Difference Vegetation Index (NDVI) for both land-based cameras (i.e., phenocams

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Goodbody, Tristan, Nicholas Coops, Txomin Hermosilla, Piotr Tompalski, and Gaetan Pelletier. "Vegetation Phenology Driving Error Variation in Digital Aerial Photogrammetrically Derived Terrain Models." Remote Sensing 10, no. 10 (2018): 1554. http://dx.doi.org/10.3390/rs10101554.

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Digital aerial photogrammetry (DAP) and unmanned aerial systems (UAS) have emerged as synergistic technologies capable of enhancing forest inventory information. A known limitation of DAP technology is its ability to derive terrain surfaces in areas with moderate to high vegetation coverage. In this study, we sought to investigate the influence of flight acquisition timing on the accuracy and coverage of digital terrain models (DTM) in a low cover forest area in New Brunswick, Canada. To do so, a multi-temporal UAS-acquired DAP data set was used. Acquired imagery was photogrammetrically proces

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Migliavacca, Mirco, Marta Galvagno, Edoardo Cremonese, et al. "Using digital repeat photography and eddy covariance data to model grassland phenology and photosynthetic CO2 uptake." Agricultural and Forest Meteorology 151, no. 10 (2011): 1325–37. http://dx.doi.org/10.1016/j.agrformet.2011.05.012.

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Millard, Koreen, Patrick Kirby, Sacha Nandlall, Amir Behnamian, Sarah Banks, and Fabrizio Pacini. "Using Growing-Season Time Series Coherence for Improved Peatland Mapping: Comparing the Contributions of Sentinel-1 and RADARSAT-2 Coherence in Full and Partial Time Series." Remote Sensing 12, no. 15 (2020): 2465. http://dx.doi.org/10.3390/rs12152465.

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Differences in topographic structure, vegetation structure, and surface wetness exist between peatland classes, making active remote sensing techniques such as SAR and LiDAR promising for peatland mapping. As the timing of green-up, senescence, and hydrologic conditions vary differently in peatland classes, and in comparison with upland classes, full growing-season time series SAR imagery was expected to produce higher accuracy classification results than using only a few select SAR images. Both interferometric coherence, amplitude and difference in amplitude time series datasets were assessed

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Boyd, Doreen S., Sally Crudge, and Giles Foody. "Towards an Automated Approach for Monitoring Tree Phenology Using Vehicle Dashcams in Urban Environments." Sensors 22, no. 19 (2022): 7672. http://dx.doi.org/10.3390/s22197672.

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Trees in urban environments hold significant value in providing ecosystem services, which will become increasingly important as urban populations grow. Tree phenology is highly sensitive to climatic variation, and resultant phenological shifts have significant impact on ecosystem function. Data on urban tree phenology is important to collect. Typical remote methods to monitor tree phenological transitions, such as satellite remote sensing and fixed digital camera networks, are limited by financial costs and coarse resolutions, both spatially and temporally and thus there exists a data gap in u

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Sai, Tay Zar Myo, Zhang Yiping, Song Qinghai, Fei Xuehai, Yang Donghai, and Phyo Zayar. "Investigating the Rainforest Canopy Phenology Variation and Productivity Responses to Drought by Using Digital Camera Images." International Journal of Current Science Research and Review 04, no. 10 (2021): 1378–97. https://doi.org/10.47191/ijcsrr/V4-i10-20.

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Among the natural disturbances, drought may cause significant change in forest ecosystems by shifting phenology and productivity. Digital cameras have been used in phenological observations for their high accuracy and the colour index values (digital-number of red, green and blue) derived from long-term continuous digital camera imagery are useful as proxies for investigating a forest canopy’s response to drought. Here, we examine the interaction between colour indices (the strength of red (S<sub>red</sub>), the strength of green (S<sub>green</sub>), green excess index (GEI)), productivi

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Wandi, Ijal, Sugianto Sugianto, and Syakur Syakur. "A Phenology Analysis of Palm Oil (Elaeis Guineensis Jacq) Growth Using Satellite Imagery Approach (A Case Study in Darul Makmur Sub-District, Nagan Raya Regency, Aceh)." Rona Teknik Pertanian 15, no. 2 (2022): 23–32. http://dx.doi.org/10.17969/rtp.v15i2.24210.

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Abstract. Vegetation index values derived from the Landsat-8 OLI images have been used widely to assess plant growth, especially in oil palm plantations. This study intends to estimate growth rates and establish the phenology of oil palm growth based on spectral reflection patterns. This study employed multitemporal Landsat-8 OLI images from 2013, 2014, 2017, 2020, and 2021 to visually interpret satellite imagery based on spatial and digital detection of object attributes. The phenology of oil palm growth is grouped into the Seed-0 Phase (0-1 Years), Seed Phase (1-3 Years), Young Phase (4-8 ye

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Liu, Guohua, Mirco Migliavacca, Christian Reimers, et al. "DeepPhenoMem V1.0: deep learning modelling of canopy greenness dynamics accounting for multi-variate meteorological memory effects on vegetation phenology." Geoscientific Model Development 17, no. 17 (2024): 6683–701. http://dx.doi.org/10.5194/gmd-17-6683-2024.

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Abstract. Vegetation phenology plays a key role in controlling the seasonality of ecosystem processes that modulate carbon, water and energy fluxes between the biosphere and atmosphere. Accurate modelling of vegetation phenology in the interplay of Earth's surface and the atmosphere is thus crucial to understand how the coupled system will respond to and shape climatic changes. Phenology is controlled by meteorological conditions at different timescales: on the one hand, changes in key meteorological variables (temperature, water, radiation) can have immediate effects on the vegetation develop

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Nijland, W., N. C. Coops, S. C. P. Coogan, et al. "Vegetation phenology can be captured with digital repeat photography and linked to variability of root nutrition inHedysarum alpinum." Applied Vegetation Science 16, no. 2 (2012): 317–24. http://dx.doi.org/10.1111/avsc.12000.

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Howat, Ian M., Claire Porter, Benjamin E. Smith, Myoung-Jong Noh, and Paul Morin. "The Reference Elevation Model of Antarctica." Cryosphere 13, no. 2 (2019): 665–74. http://dx.doi.org/10.5194/tc-13-665-2019.

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Abstract. The Reference Elevation Model of Antarctica (REMA) is the first continental-scale digital elevation model (DEM) at a resolution of less than 10 m. REMA is created from stereophotogrammetry with submeter resolution optical, commercial satellite imagery. The higher spatial and radiometric resolutions of this imagery enable high-quality surface extraction over the low-contrast ice sheet surface. The DEMs are registered to satellite radar and laser altimetry and are mosaicked to provide a continuous surface covering nearly 95 % the entire continent. The mosaic includes an error estimate

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Nurtyawan, Rian, Asep Saepuloh, Agung Budi Harto, Ketut Wikantika, and Akihiko Kondoh. "Satellite Imagery for Classification of Rice Growth Phase Using Freeman Decomposition in Indramayu, West Java, Indonesia." HAYATI Journal of Biosciences 25, no. 3 (2018): 126. http://dx.doi.org/10.4308/hjb.25.3.126.

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Monitoring at every growth of rice plants is an important information for determining the grain pro-duction estimation of rice. Monitoring must to be have timely work on the rice plant development. However, timely monitoring and the high accuracy of information is a challenge in remote sensing based on rice agriculture monitoring and observation. With increased quality of synthetic aperture radar (SAR) systems utilizing polarimetric information recently, the development and applications of polarimetric SAR (PolSAR) are one of the current major topics in radar remote sensing. The ad-vantages pr

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Wingate, L., J. Ogée, E. Cremonese, et al. "Interpreting canopy development and physiology using a European phenology camera network at flux sites." Biogeosciences 12, no. 20 (2015): 5995–6015. http://dx.doi.org/10.5194/bg-12-5995-2015.

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Abstract. Plant phenological development is orchestrated through subtle changes in photoperiod, temperature, soil moisture and nutrient availability. Presently, the exact timing of plant development stages and their response to climate and management practices are crudely represented in land surface models. As visual observations of phenology are laborious, there is a need to supplement long-term observations with automated techniques such as those provided by digital repeat photography at high temporal and spatial resolution. We present the first synthesis from a growing observational network

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Moore, Caitlin E., Jason Beringer, Bradley Evans, Lindsay B. Hutley, and Nigel J. Tapper. "Tree–grass phenology information improves light use efficiency modelling of gross primary productivity for an Australian tropical savanna." Biogeosciences 14, no. 1 (2017): 111–29. http://dx.doi.org/10.5194/bg-14-111-2017.

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Abstract. The coexistence of trees and grasses in savanna ecosystems results in marked phenological dynamics that vary spatially and temporally with climate. Australian savannas comprise a complex variety of life forms and phenologies, from evergreen trees to annual/perennial grasses, producing a boom–bust seasonal pattern of productivity that follows the wet–dry seasonal rainfall cycle. As the climate changes into the 21st century, modification to rainfall and temperature regimes in savannas is highly likely. There is a need to link phenology cycles of different species with productivity to u

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Avalos, Fabio Arnaldo Pomar, Michele Duarte de de Menezes, Fausto Weimar Acerbi Acerbi Júnior, Nilton Curi, Junior Cesar Avanzi, and Marx Leandro Naves Silva. "Evaluation of Synthetic-Temporal Imagery as an Environmental Covariate for Digital Soil Mapping: A Case Study in Soils under Tropical Pastures." Resources 13, no. 2 (2024): 32. http://dx.doi.org/10.3390/resources13020032.

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Digital soil maps are paramount for supporting environmental process analysis, planning for the conservation of ecosystems, and sustainable agriculture. The availability of dense time series of surface reflectance data provides valuable information for digital soil mapping (DSM). A detailed soil survey, along with a stack of Landsat 8 SR data and a rainfall time series, were analyzed to evaluate the influence of soil on the temporal patterns of vegetation greenness, assessed using the normalized difference vegetation index (NDVI). Based on these relationships, imagery depicting land surface ph

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Lamping, James E., Harold S. J. Zald, Buddhika D. Madurapperuma, and Jim Graham. "Comparison of Low-Cost Commercial Unpiloted Digital Aerial Photogrammetry to Airborne Laser Scanning across Multiple Forest Types in California, USA." Remote Sensing 13, no. 21 (2021): 4292. http://dx.doi.org/10.3390/rs13214292.

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Science-based forest management requires quantitative estimation of forest attributes traditionally collected via sampled field plots in a forest inventory program. Three-dimensional (3D) remotely sensed data such as Light Detection and Ranging (lidar), are increasingly utilized to supplement and even replace field-based forest inventories. However, lidar remains cost prohibitive for smaller areas and repeat measurements, often limiting its use to single acquisitions of large contiguous areas. Recent advancements in unpiloted aerial systems (UAS), digital aerial photogrammetry (DAP) and high p

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Wingate, L., J. Ogée, E. Cremonese, et al. "Interpreting canopy development and physiology using the EUROPhen camera network at flux sites." Biogeosciences Discussions 12, no. 10 (2015): 7979–8034. http://dx.doi.org/10.5194/bgd-12-7979-2015.

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Abstract. Plant phenological development is orchestrated through subtle changes in photoperiod, temperature, soil moisture and nutrient availability. Presently, the exact timing of plant development stages and their response to climate and management practices are crudely represented in land surface models. As visual observations of phenology are laborious, there is a need to supplement long-term observations with automated techniques such as those provided by digital repeat photography at high temporal and spatial resolution. We present the first synthesis from a growing observational network

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Steiner, Jakob F., Philip D. A. Kraaijenbrink, Sergiu G. Jiduc, and Walter W. Immerzeel. "Brief communication: The Khurdopin glacier surge revisited – extreme flow velocities and formation of a dammed lake in 2017." Cryosphere 12, no. 1 (2018): 95–101. http://dx.doi.org/10.5194/tc-12-95-2018.

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Abstract. Glacier surges occur regularly in the Karakoram, but the driving mechanisms, their frequency and its relation to a changing climate remain unclear. In this study, we use digital elevation models and Landsat imagery in combination with high-resolution imagery from the Planet satellite constellation to quantify surface elevation changes and flow velocities during a glacier surge of the Khurdopin Glacier in 2017. Results reveal that an accumulation of ice volume above a clearly defined steep section of the glacier tongue since the last surge in 1999 eventually led to a rapid surge in Ma

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Peichl, Matthias, Oliver Sonnentag, and Mats B. Nilsson. "Bringing Color into the Picture: Using Digital Repeat Photography to Investigate Phenology Controls of the Carbon Dioxide Exchange in a Boreal Mire." Ecosystems 18, no. 1 (2014): 115–31. http://dx.doi.org/10.1007/s10021-014-9815-z.

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Nagle-McNaughton, Timothy, and Rónadh Cox. "Measuring Change Using Quantitative Differencing of Repeat Structure-From-Motion Photogrammetry: The Effect of Storms on Coastal Boulder Deposits." Remote Sensing 12, no. 1 (2019): 42. http://dx.doi.org/10.3390/rs12010042.

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Repeat photogrammetry is increasingly the go-too tool for long-term geomorphic monitoring, but quantifying the differences between structure-from-motion (SfM) models is a developing field. Volumetric differencing software (such as the open-source package CloudCompare) provides an efficient mechanism for quantifying change in landscapes. In this case study, we apply this methodology to coastal boulder deposits on Inishmore, Ireland. Storm waves are known to move these rocks, but boulder transportation and evolution of the deposits are not well documented. We used two disparate SfM data sets for

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Gomarasca, M. A., A. Tornato, D. Spizzichino, et al. "SENTINEL FOR APPLICATIONS IN AGRICULTURE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 91–98. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-91-2019.

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<p><strong>Abstract.</strong> The European Union and the European Space Agency (EU/ESA) have promoted since 1998 (Baveno Manifesto*) the GMES Programme (Global Monitoring for Environment and Security), nowadays called Copernicus (www.copernicus.eu). In the agriculture domain, the use of Copernicus Sentinel imagery and its services are providing several new opportunities. The knowledge of fundamentals of Earth Observation/Geographic Information EO/GI, namely Geomatics, for the development of innovative strategies for professional skills adequacy and capacity building, supporti

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Barrand, Nicholas E., Tavi Murray, Timothy D. James, Stuart L. Barr, and Jon P. Mills. "Optimizing photogrammetric DEMs for glacier volume change assessment using laser-scanning derived ground-control points." Journal of Glaciology 55, no. 189 (2009): 106–16. http://dx.doi.org/10.3189/002214309788609001.

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AbstractPhotogrammetric processing of archival stereo imagery offers the opportunity to reconstruct glacier volume changes for regions where no such data exist, and to better constrain the contribution to sea-level rise from small glaciers and ice caps. The ability to derive digital elevation model (DEM) measurements of glacier volume from photogrammetry relies on good-quality, well-distributed ground reference data, which may be difficult to acquire. This study shows that ground-control points (GCPs) can be identified and extracted from point-cloud airborne lidar data and used to control phot

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Russell-Smith, Jeremy, Cameron P. Yates, Chris Brock, and Vanessa C. Westcott. "Fire regimes and interval-sensitive vegetation in semiarid Gregory National Park, northern Australia." Australian Journal of Botany 58, no. 4 (2010): 300. http://dx.doi.org/10.1071/bt99210.

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Few data are available concerning contemporary fire regimes and the responses of fire interval-sensitive vegetation types in semiarid woodland savanna landscapes of northern Australia. For a 10 300 km2 semiarid portion of Gregory National Park, in the present paper we describe (1) components of the contemporary fire regime for 1998–2008, on the basis of assessments derived from Landsat and MODIS imagery, (2) for the same period, the population dynamics, and characteristic fine-fuel loads associated with Acacia shirleyi Maiden (lancewood), an obligate seeder tree species occurring in dense mono

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Das, Indrani, Regine Hock, Etienne Berthier, and Craig S. Lingle. "21st-century increase in glacier mass loss in the Wrangell Mountains, Alaska, USA, from airborne laser altimetry and satellite stereo imagery." Journal of Glaciology 60, no. 220 (2014): 283–93. http://dx.doi.org/10.3189/2014jog13j119.

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AbstractAlaskan glaciers are among the largest regional contributors to sea-level rise in the latter half of the 20th century. Earlier studies have documented extensive and accelerated ice wastage in most regions of Alaska. Here we study five decades of mass loss on high-elevation, land-terminating glaciers of the Wrangell Mountains (~ 4900 km2) in central Alaska based on airborne center-line laser altimetry data from 2000 and 2007, a digital elevation model (DEM) from ASTER and SPOT5, and US Geological Survey topographic maps from 1957. The regional mass-balance estimates derived from center-

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Ahlstrøm, Andreas P., Johan J. Mohr, Niels Reeh, Erik Lintz Christensen, and Roger LeB Hooke. "Controls on the basal water pressure in subglacial channels near the margin of the Greenland ice sheet." Journal of Glaciology 51, no. 174 (2005): 443–50. http://dx.doi.org/10.3189/172756505781829214.

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AbstractAssuming a channelized drainage system in steady state, we investigate the influence of enhanced surface melting on the water pressure in subglacial channels, compared to that of changes in conduit geometry, ice rheology and catchment variations. The analysis is carried out for a specific part of the western Greenland ice-sheet margin between 66° N and 66°30′N using new high-resolution digital elevation models of the subglacial topography and the ice-sheet surface, based on an airborne ice-penetrating radar survey in 2003 and satellite repeat-track interferometric synthetic aperture ra

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Luo, Yunpeng, Tarek El-Madany, Gianluca Filippa, et al. "Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293." Remote Sensing 11, no. 6 (2019): 726. http://dx.doi.org/10.3390/rs11060726.

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Mittal, DR Rashi. "“The Impact of Deceptive Advertising on Consumers Trust and Market Dynamic: A Mix Method Study in the Indian Contexts”." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50379.

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ABSTRACT Deceptive advertising has emerged as a significant concern in the modern marketing ecosystem, where intense competition and digital platforms have amplified the spread of misleading content. This thesis investigates the various forms of deceptive advertising—ranging from exaggerated claims and manipulated imagery to false endorsements and omitted disclaimers—and examines their direct and indirect consequences on consumer trust, decision-making behavior, and market competition. The study focuses on the Indian context, where the rise of digital marketing, influencer promotions, and mini

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Venkatappa, Manjunatha, Nophea Sasaki, Sutee Anantsuksomsri, and Benjamin Smith. "Applications of the Google Earth Engine and Phenology-Based Threshold Classification Method for Mapping Forest Cover and Carbon Stock Changes in Siem Reap Province, Cambodia." Remote Sensing 12, no. 18 (2020): 3110. http://dx.doi.org/10.3390/rs12183110.

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Digital and scalable technologies are increasingly important for rapid and large-scale assessment and monitoring of land cover change. Until recently, little research has existed on how these technologies can be specifically applied to the monitoring of Reducing Emissions from Deforestation and Forest Degradation (REDD+) activities. Using the Google Earth Engine (GEE) cloud computing platform, we applied the recently developed phenology-based threshold classification method (PBTC) for detecting and mapping forest cover and carbon stock changes in Siem Reap province, Cambodia, between 1990 and

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Melkonian, A. K., M. J. Willis, M. E. Pritchard, A. Rivera, F. Bown, and S. A. Bernstein. "Satellite-Derived Volume Loss Rates and Glacier Speeds for the Cordillera Darwin Icefield, Chile." Cryosphere Discussions 6, no. 4 (2012): 3503–38. http://dx.doi.org/10.5194/tcd-6-3503-2012.

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Abstract. We produce the first icefield-wide volume change rate and glacier velocity estimates for the Cordillera Darwin Icefield (CDI), a 2605 km2 temperate icefield in Southern Chile (69.6° W, 54.6° S). Velocities are measured from optical and radar imagery between 2001–2011. Thirty-seven digital elevation models (DEMs) from ASTER and the SRTM are stacked and a weighted linear regression is applied to elevations on a pixel-by-pixel basis to estimate volume change rates. The CDI lost mass at an average rate of 3.9 ± 0.3 Gt yr−1 between 2000 and 2011, equivalent to a sea level rise (SLR) of 0.

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Caspard, Mathilde, Hervé Yésou, Arnaud Selle, et al. "Forest recolonization monitoring based on HR and VHR imagery: the case of the Maido forest fire exploiting Pléiades HR and SPOT Kalideos database." Revue Française de Photogrammétrie et de Télédétection, no. 209 (January 29, 2015): 149–55. http://dx.doi.org/10.52638/rfpt.2015.99.

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End October 2011, in a rapid mapping framework, SERTIT followed during 6 days the increase of the forest fires which hit the Maido slopes, Reunion Island, in the hearth of National Park, a UNESCO world heritage site. SERTIT's Rapid Mapping service followed the evolution of this event in â€œnear real timeâ€ in a SAFER activation framework, during one week long, with one satellite image acquisition then one map produced every day. According to the prefecture report, the fire burnt more than 2600ha.After this crisis period, the work turned to the question about the resilience and the monitoring

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