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GregCocks

@GregCocks@techhub.social

Personal Account - Opinions My Own | Spatial Data Scientist / Researcher | #spatial #GIS #water #hydrology #AllDataIsSpatial #DataIsTheNewBacon #KiwiInColorado | | The world is a better place with maps & spatial data analysis!

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Nearly 2 Billion People Globally At Risk From Land Subsidence

https://phys.org/news/2024-03-billion-people-globally-subsidence.html <-- shared technical article

https://doi.org/10.1029/2023GL104497 <-- shared paper

maps and charts - (a)—Locations of recorded subsidence rates. Includes 34 sources with reported subsidence maps that were subsequently digitized and converted to points at 30″ resolution, 193 sources with a single subsidence point per source, and 19221 GPS stations. (b)—Frequency distribution of the subsidence rates. (c–e)—Digitization workflow. (c)—Points detected by the digitization algorithm, based on the provided colors in the legend of the original image in Figure S1 of the Supporting Information S1. (d)—Visualization of the extracted points in GIS software, based on extracted longitude, latitude, and rates. (e)—Final locations of the points, after resampling and snapping on the 30″ tiles of the predictor maps.
charts & graphs - summary of the methodology and results used in the research paper
maps and charts - Global prediction of land subsidence, with relevant feature importance and zonal statistics at the top

GregCocks, to philosophy
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Vocabulary Of The Roman Surveyors

https://blogs.dickinson.edu/dcc/2013/11/20/vocabulary-of-the-roman-surveyors/ <-- link to technical article / commentary

https://www.fig.net/resources/proceedings/fig_proceedings/fig2018/ppt/fig10a/FIG10A_hosbas_pirti_et_al_9296_ppt.pdf <-- shared presentation

“They don’t get much in the way of posthumous glory, but Roman surveyors have left us a wealth of technical treatises, collectively known as the Corpus Agrimensorum Romanorum, which is of unique historical importance for its detailed descriptions of the nature of land settlement, and the role of emperors, especially Augustus, in regulating urban centers in a rural environment. Archaeologist David Gilman Romano, longtime director of the Corinth Computer Project, has been using the Agrimensores to understand the rural geography of Corinth and the nature of Roman re-settlement of the city…

graphics - the roman surveying spirit level, the chorobates
graphics - the roman surveying geodetic instrument, the groma
Illustrations from the earliest manuscripts of the Agrimensores, the sixth century codex Arcerianus (A) and the ninth century codex Palatinus Vaticanus latinus 1564 (P), from Thulin’s edition (Leipzig: Teubner, 1913), plates 24 and 25.

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The @NatlParkService , bringing it so well, as always!

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How Melting Arctic Ice Leads To European Drought And Heatwaves

https://insideclimatenews.org/news/01032024/links-between-melting-arctic-ice-and-summertime-extreme-weather-in-europe/ <-- shared technical article

https://doi.org/10.5194/wcd-5-109-2024 <-- shared paper

maps - The Combined Drought Indicator—used to identify areas affected by agricultural drought, and areas with the potential to be affected—estimated for the first 10 days of each month from April to September 2022. Credit: European Commission, Joint Research Centre
photo - The Wamme river is seen at a low level during the European heatwave on Aug 10, 2022 in Rochefort, Belgium
maps - Climatological mean (a) SST, (d) meridional winds at 700 hPa, (g) 2 m air temperature, and (j) precipitation minus evaporation in summer (May through to August). Regressions of (b, c) the SST (colour shading) and 700 hPa winds (arrows), (e, f) the meridional winds at 700 hPa, (h, i) the 2 m air temperature, and (k, l) the accumulated precipitation minus evaporation on FE in (b, e, g, k) the first and (c, f, h, l) the second summer (May through to August) after the freshwater anomalies (indicated by the “+1” and “+2” in the titles). We removed large-scale trends from the air temperature to reduce the direct warming effect of greenhouse gases (Sect. 2), and we excluded the anomaly in 2016 since it exhibited a different spatial SST distribution from the other anomalies (Fig. A1). Thick contours encompass regions that are significant at the 95 % confidence level, and the red and blue dotted lines in (b) and (c) delineate the regions in which the SST anomalies exceed 2 ∘C and fall below −2 ∘C.

GregCocks, to Futurology
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GregCocks, to Birds
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GregCocks, to technology
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Missed your 25th birthday @shapefiIe (July 1998); that is 175 years in technology years! 🙃 😜 🤔 😁
(and some are worried about Joe Biden!)

Nothing personal, but
https://www.gis-blog.com/geopackage-vs-shapefile/

GregCocks, to Futurology
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GregCocks, to 3dmodeling
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Future Changes In Global Atmospheric Rivers Projected By CMIP6 Models

https://doi.org/10.1029/2023JD039359 <-- shared paper

#GIS #spatial #mapping #atmosphericriver #risk #hazard #3dmodeling #spatialanalysis #spatiotemporal #climate #climatechange #extreme #model #modeling #numericmodeling #precipitation #rain #rainfall #global #atmosphere #CMIP6 #climatology #temperature #surfacetemperature #heavyrain #hydrology #water #hydrological #hydrologicalcycle #globalwarming #thermaleffects #naturalhazard #naturaldisaster #disaster

maps and charts - (a) Atmospheric river (AR) characteristics, including duration, interval, area, and intensity during the DJF globally. The central plot displays the increase in AR frequency between the far-future (SSP585; 2070–2099) and the historical (1980–2009) periods, with the climatological AR frequency in the historical period represented by the contours. Black dots indicate unanimous frequency changes among CMIP6 models. The red rectangles are the boundaries of the target regions and the black hatches are the selected land regions. The surrounding plots show 2D Kernel Density Estimation (KDE) maps for AR characteristics over the historical period and far-future under different scenarios displayed in the bottom right corner for eight regions. The univariate distributions of the characteristics are shown on the outer axes of each subplot. (b) The comparison of the KDE maps for three selected regions with ARs detected with GuanWaliser_v2 and Mundhenk_v3 AR detection tools (ARDTs). Note that only the SSP585 scenario is available for the far-future period in these two data sets. The legend is the same as in Panel (a). Note that the figures of PanLu ARDT are presented based on daily scale data sets, while the figures of GuanWaliser_v2 and Mundhenk_v3 ARDTs are presented on 6-hourly scale data sets due to data accessibility.
graphic - what is the science behind atmospheric rivers
maps and charts - Projected increase in panel (a) atmospheric river (AR) frequency and (b) AR-induced precipitation for DJF and JJA in Northern Hemisphere and Southern Hemisphere under the SSP585 scenarios. The shading represents the differences between the far-future (2070–2099) and historical (1980–2009) periods, with contours delineating the historical climatology. ARs detected with the PanLu, GuanWaliser_v2 and Mundhenk_v3 method are all shown. Note that the figures of PanLu ARDT are presented based on daily scale data sets, while the figures of GuanWaliser_v2 and Mundhenk_v3 ARDTs are presented on 6-hourly scale data sets due to data accessibility.

GregCocks, to art
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The Case For Remote Sensing Of Individual Plants

https://doi.org/10.1002/ajb2.1347 <-- shared short article

# interpretation

aerial images - High-resolution images from the Planet Labs constellation of cube-sats detect flowering individual trees in the Peruvian Amazon (yellow objects in panel A) and Colombian Amazon (pink objects in panel B). Many thousands of flowering individuals are apparent across hundreds of kilometers of Amazonian forest in these flowering events. Scale bar = 500 m.
aerial and oblique remotesensing-created images - Drone remote sensing of individual trees. (A) Ultra-high-density drone lidar resolves individual tree structure in a temperate beech forest in the southern Czech Republic. Colors indicate elevation, and the tallest trees are about 40 m aboveground. Measurement density here is 4323 points per square meter. (B) High-spatial resolution optical remote sensing from a low-altitude drone in the Atlantic lowlands of Costa Rica. We used methods from computer vision to construct three-dimensional scene geometry from two-dimensional images. The image is a natural color composite. (C) Same area as B, but colored by surface elevation, where warmer colors indicate taller objects. A single Goethalsia meiantha crown is outlined in white. The area of this crown is 157.3 m2. At a pixel size of 1 cm, this crown contains 1.573 × 106 pixels, demonstrating the tremendous increase in measurement density at high-spatial resolution. Scale bar in B and C = 30 m.
graphic / schematic - drone performing remote sensing on a tree

GregCocks, to python
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Technical Book Review: Learning Geospatial Analysis With Python, 4th Edition - Joel Lawhead

https://post.news/@/kiwiincolorado/2cFKx6F4VUzyYlLjqYQK9VVYO6f <-- link to review

[disclaimers – (i) a publisher’s representative solicited a review of this book and provided an e-book version for that purpose but no recompense, (ii) this is my impartial, personal review - and hence is not an endorsement by my employer, implicit or otherwise.]

@packt @packtpublishing

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GregCocks, to art
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Earth As Art - Earth Resources Observation and Science (EROS) Center, USGS

https://eros.usgs.gov/media-gallery/earth-as-art <-- shared resource

“In addition to their scientific value, many satellite images are simply intriguing to look at. Satellites capture an incredible variety of views of Earth. See the mesmerizing beauty of river deltas, mountains, and other sandy, salty, and icy landscapes. Some might even remind you of actual famous works of art!...
Earth As Art relies on the interplay of visible and invisible light across the electromagnetic spectrum made possible by satellite sensors….”

@USGS

remote sensing imagery Rupert Bay, an arm of James Bay, extends into Quebec, Canada. Many rivers carry sediment into the bay and combine with seawater coming in from the tide. A prominent sediment stream extends past Stag Island and a vortex curls off Stag Rock in the middle of the bay. Sediment trails off the islands toward the mainland, indicating the tide was coming in at the time of image acquisition.
remote sensing imagery - One glacier on Russian islands in the Arctic Ocean surprised scientists with its rapid change. After decades of normal, slow movement, a glacier draining Vavilov Ice Cap sprang forward, accelerating rapidly after 2013. This fast movement is extremely rare for cold-based glaciers. In 5 years, the ice tongue doubled in size. In this inverted rendition, land is blue and fractured sea ice appears tan across the top of the image.
remote sensing imagery - Rock folding on a tectonic scale occurred in northwestern Africa. These motley ribbons dancing across the desert in Morocco are folds caused by the prolonged collision of tectonic plates. The long continuous line is Jbel Ouarkziz, a ridge that rises 200–300 meters above the valley floors.

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