Radiofrequency ablation lesions in a pig liver model. J Surg Res 1999; 87: 114-21. Hepatic vessel segmentation for 3D planning of liver surgery experimental. Mehrdad Moghbel, Syamsiah Mashohor, Rozi Mahmud, and M. 3D Imaging of Rapidly Spinning Space Targets Based on a Factorization Method. Glioma grading based on 3D multimodal convolutional neural network. Using a hierarchical Bayesian model. Bioinformatics and Computational Biology. Rozi Askar, Dong Wang, Fanhu Bie, Jun Wang, Thomas Fang Zheng.

I escaped the windy and rainy Netherlands to the sunny Mediterranean island of Malta, where I headed to Divewise to meet up with John Kendall, a GUE instructor with a passion for photogrammetry. Photogrammetry is the practice of gathering information about objects using photographs and 3D modeling.

I spent the next five days practicing these skills with John, whose specialty is shipwreck photogrammetry. We started out in the classroom by running through the basics of Agisoft, the software used to create the 3D models. John taught me that the key to making models was 80% overlap between successive photos, which would allow the software to match up the images. It is also important that the successive photos do not change angle too quickly or round corners too fast. We made models of various items around the Divewise shop before heading underwater at the house reef. My first model!

A rocky basin on the house reef. What was relatively simple on land took on a different level of difficulty underwater.

Lots of practice led to a simple model of the seabed. I spent the next few days practicing on the famous Maltese wrecks under John’s watchful eye, ultimately creating this model of the bow of the P29 wreck.

Model of the bow of the P29 wreck. Learning photogrammetry skills was incredibly fun and challenging. Thank you to John for hosting me, and thank you to and for providing the camera setup that I used on this experience! Thank you also to and, as well as Rolex and OWUSS for this opportunity.

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Scroll down to see some more photos from MaltaI’m off to China next! John hovers above the wreck of the P29. He’s modeling the whole ship while I work on making a model of the bow! Photo by Leah Potts A doorway on the wreck of the Um El Faroud. Photo by Leah Potts. Wreck of the Rozi. Photo by Leah Potts.

Swimming on the Um El Faroud. Photo by Leah Potts.

[1] The irrigated Indus Basin in Pakistan has insufficient water resources to supply all its stakeholders. Information on evaporative depletion across the Basin is an important requirement if the water resources are to be managed efficiently. This paper presents the Surface Energy Balance Algorithm for Land (SEBAL) method used to compute actual evapotranspiration for large areas based on public domain National Oceanic and Atmospheric Administration (NOAA) satellite data. Computational procedures for retrieving actual evapotranspiration from satellites have been developed over the last 20 years. The current work is among the first applications used to estimate actual evapotranspiration on an annual scale across a vast river basin system with a minimum of ground data. Only sunshine duration and wind speed are required as input data for the remote sensing flux algorithm.

The results were validated in the Indus Basin by comparing results from a field‐scale transient moisture flow model, in situ Bowen ratio measurements, and residual water balance analyses for an area of 3 million ha. The accuracy of assessing time‐integrated actual annual evapotranspiration varied from 0% to 10% on a field scale to 5% at the regional level. Spatiotemporal information on actual evapotranspiration helps to evaluate water distribution and water use between large irrigation project areas. Wide variations in evaporative depletion between project areas and crop types were found. Satellite‐based measurements can provide such information and avoid the need to rely on field databases. Introduction [2] The demand for water exceeds its availability in several of the world's large river basins.