From Drones to Dolphins

Nandini’s eyes light up every time she spots a dolphin surface on the screen. The mobile screen displaying the live feed from the drone currently hovering above the river’s surface - recording a pod of feeding Ganges river dolphins. Metres away from the shallow pool lies a gharial, India’s rarest crocodilian, basking in the evening sun on a sandbar. The team and I are currently on the banks of the river Gandak, a tributary of the river Ganga that flows through West Champaran district of Bihar. We are nearing the end of the day and the first of two field trips to develop systems for conservation and monitoring endangered river dolphins and gharials in regulated rivers of India’s Gangetic plains.

Drone pilot Nandini Mehrotra (centre) monitoring dolphin behaviour through the drone’s controller.

Ganges river dolphins (GRDs), as their name suggests are endemic to the Indo-Gangetic Basin. They are frequently spotted alone or in small groups, and typically a mother and calf travel together.¹ They are essentially blind hunters who use ultrasonic sound waves to detect fish and other prey.² Like most cetaceans, GRDs spend much of their time underwater, surfacing briefly to breathe.³ The movement of these animals is now known from observation to follow seasonal patterns, moving upstream when the water level rises before entering smaller streams. Due to the same —short glimpses of their presence above water and an inability to record their presence underneath because of turbid conditions that make camera entrapment impossible—monitoring their presence and mobility is difficult.

Historically, the rivers of Bangladesh, Bhutan, India, Myanmar, Nepal, and Pakistan were all included in the gharial’s habitat range. Today, its range is restricted to a few big rivers in India, Nepal, and Bhutan. It is easily identified from other crocodiles because of the adult male’s long and slender snout resembling the Ghara (a type of earthen pot used for storing drinking water). The gharial, a keystone species for the health of freshwater systems, works as do other crocodile species to move nutrients from the riverbed to the surface, boosting fish populations and assisting in the maintenance of the aquatic ecosystem. Gharials are cold-blooded creatures that emerge from underwater to bask themselves in the sun in order to regulate their body temperature or, nest. As the mud on their bodies dries, they blend in with the sandbars they bask in and are easy to overlook in their environment.

Ganges river dolphin (Platanista gangetica) and the gharial (Gavialis gangeticus) are both listed in the IUCN’s Red List as Endangered species and Critically Endangered species, respectively. Among the main causes of the Ganges river dolphins' (GRD) population decline in their range are poaching, becoming fishery bycatch, the construction of flood-control infrastructure, embankments, the presence of motorboats, dredging, siltation, progressive habitat degradation by sluice gates, and aquatic pollution. Adult gharial population nosedived from an estimated 436 adult gharials in 1997 to fewer than 250 mature individuals in 2006. Reasons for their decline can be cited to the increased use of gill nets for fishing in gharial habitat and the loss of riverine habitat as dams, barrages, irrigation canals and artificial embankments being built. Siltation and sand-mining further change the river courses; land near rivers being used for agriculture and grazing by livestock during the dry-season. Another reason for the decline has been attributed to over-hunting for skins and trophies, egg collection for consumption, killing for indigenous medicine and excessive and irreversible loss of the species habitat.

A gharial (Gavialis gangeticus) basking with open jaws—a sign of relaxation—in the Gandak River.

The Gandak plays host to the second largest population of the critically endangered gharials in the country and is a significant habitat range to the migratory Ganges river dolphins. The riverine habitats of both species are threatened by water flow regulation by dams and barrages in this region. In regulated rivers, water level is determined by human needs- to meet various domestic and industrial demands for water or for flood control and drainage. Though we have relied on simple forms of river regulation to provide water security from early river valley civilizations, river regulation today is an important tool for socioeconomic development. Local controls are now replaced by the coordinated regulation of flows throughout entire river basins and large-scale water transfers from wet to dry regions via sluice gates and barrages. 

Reduced water flow leads to a reduction in foraging grounds and habitat. Dry-season flow regulation leads to sudden changes in depth, water temperatures, and bank erosion. This leaves GRDs at risk of being stranded in shallow river channels. Gharials may face breeding failures with unexpected water release that may wash away eggs. Such serious impacts need to be better understood to be addressed. Changes in dry-season river flow regulation are unpredictable and large-scale, making high-resolution data collection to monitor the species’ habitat in real-time indispensable. Such methods could enable swift communication of risks resulting from dam operations, to concerned water management authorities facilitating quick response to minimise mortality or injury risk to river dolphins or gharials, and eventually help inform ecologically oriented management of rivers. Despite a significant increase in awareness about river conservation, water management paradigms have not been able to address threats to species from dry-season river flow changes.

Spotter in the kayak on the River Gandak as observed from the survey boat.

The project's goal is to better understand these species and their conservation needs by using multiple methods in tandem and hence addressing previous knowledge gaps. It will be essential to continue extrapolating from real-time monitoring for prompt conservation action and efficient management of both human and ecological requirements. 

The first task between the collaborating team members from Wildlife Conservation Trust (WCT) and Technology for Wildlife Foundation (TfW) was to identify an appropriate field-site for study. The field site requirement was an area suitable to conduct study by air, water and land. Proof of abundance was to be obtained in land by visual bank-based surveys and in air by the use of UAVs in the area of interest. Attached to the boat as part of the boat-based methods was the CPOD (Cetacean and Porpoise Detection) device. It was used to collect data on GRDs’ frequencies, sound pressure levels, and general activity in the study area. To narrow down the field of study the team conducted a river survey in a zigzag transect, using a boat and kayak over the area of interest. The kayak was manned by a spotter and a kayaker, while the boat carried the rest of the team, following behind the kayak. 

Once the field of study was determined, the teams split into three. The first team worked on setting up and retrieving information from the CPOD and surveying dolphin presence and activity. The second team worked on tracking gharial abundance in the area of interest and its fringes. The last team ran aerial transects simultaneously over the same area, whilst coordinating over the radio. As such, valuable proof of record was gathered on the focus species over the duration of the field trip. 

References:

  1. Ganges River Dolphin | Freshwater Dolphin | Species | WWF

  2. Ganges River dolphins strongly alter their acoustic behaviour in response to underwater noise, finds study from India - Dr. Nachiket Kelkar

  3. Surfacing and diving behaviour of free-ranging Ganges river dolphin, Platanista gangetica gangetica on JSTOR. (n.d.). www.jstor.org

  4. The Gharial: Going Extinct Again1 | IGUANA • VOLUME 14, NUMBER 1 • MARCH 2007

  5. Studies on the Indian Gharial | Journal of the Bombay Natural History Society

  6. The endangered Ganges river dolphin heads towards local extinction in the Barak river system of Assam, India: A plea for conservation

  7. Gharial: Threats | Wikipedia

  8. Gharial-Gavialis gangeticus | IUCN Red List

Anatomy of an Unsuccessful Project: The Tiger and the Thermal Camera

Early in October, a former colleague and current field biologist with one of our NGO partners called me, and when I didn’t answer, sent me a message. “Hi. Trying to contact you for some help. Please call me when you are free”. It was Ashtami, the 8th day of Durga Puja, and I was on leave in Calcutta, visiting puja pandals across the city. We take our holidays at TfW quite seriously, and amidst all the festivities, unable and unwilling to take a call, I asked him to send me a voice note or an email.

The email arrived. “Hope this email finds you well. This is to inform you that a tiger has killed two people in Valmiki Tiger Reserve [The only Tiger Reserve in Bihar]. These incidents happened on the fringe area of forest and sugarcane fields. Bihar Forest Department is trying to capture this animal using box trap cages and chemical immobilization method. Forest department has placed rescue teams and also installed several trap cages. It's difficult to locate the animal in the sugarcane field. We would need a drone with IR/thermal camera to locate the animals. Is it possible for you to visit and assist the rescue team of the forest department in tracking and locating the tigers in the sugarcane field?”

This sort of request is familiar to us; we’ve managed field operations for a similar project in Uttar Pradesh in 2017, and know of numerous other similar projects across India. However, at this point in time, we do not own our own drone+thermal camera. Aside from the prohibitive cost (~INR 6 lakhs), our core function as an organisation is not to respond to emergencies, but to help our partners amplify their conservation impact. However, receiving this request almost made me feel guilty about not acquiring our own drone+thermal camera.

However, It turned out that there was already a drone + thermal camera in the field, but with some software issues. It was now Dashami, the final day of Durga Puja. I took some time out before the day started to provide trouble-shooting advice via text messages. I was later informed that they were not able to get this drone to work.

The next day, with both Durga Puja and my holidays over, another former colleague at the same organisation messaged me: “Can you help with drone services there or get someone else who can on an emergency basis.” The message continued with the news that a young girl had been killed that morning, and that it was only a matter of time before the Forest Department would need to shoot the tiger dead. Locating the tiger was of the utmost importance, either to tranquilise it or to kill it, ideally before it killed more people.

As part of India Flying Labs, and with links to the Drone Federation of India, we are embedded in India’s drone industry and have access to a large network of drone operators and manufacturers. I put the word out that there was an urgent conservation mission in rural Bihar that needed at least one drone + thermal camera as well as trained operators. In terms of work, this involved numerous phone calls, emails and text messages, as well as assessments on our part of how capable we felt a drone operator was of working on this particular project. I finally spoke to someone from an organisation who, in our opinion, had the capacity to help. I gave them the full project brief, and then connected them to my former colleagues. Later the same day, the tiger killed another person.

The next evening, when I called the field biologist to check on the situation and how he was, he said, “Not good”. The tiger had killed a mother and her pre-teen son early in the morning, and had been shot dead during a Forest Department operation in the afternoon. This particular tiger, designated a man-eater and posthumously identified as the three-year old male T104, had killed between 9 and 12 people (there are conflicting reports), with four confirmed kills in its last three days alive. The impact of his actions on Bihar’s tiger conservation efforts will manifest in the future, and they are unlikely to be positive in any way. It is unlikely that these recent events have helped convince local communities around Valmiki Tiger Reserve that tiger conservation is in their best interests.

I wasn’t in the field for this project; my role was purely to network and connect people who believed that they needed drone services urgently with those who would possibly be able to provide it. In the end, matters escalated rapidly, and concluded before additional resources were allocated. I’m too removed from the situation to assess whether a working drone + thermal camera would have helped locate the tiger earlier, preventing the later human deaths. The fact remains that we’ll never know; many people, and a tiger, are now dead.

Note: The email and text exchanges detailed have been edited to maintain the senders’ anonymity.

Google Earth Engine vs. the Microsoft Planetary Computer

I have been using Google Earth Engine (GEE) for two years now. It was initially difficult to understand the interface, language, analysis and visualisation, but this became simpler over time. Time-series analyses, plots and animated gifs/videos are easy to implement in GEE. Recently, I also began exploring Microsoft Planetary Computer (MPC) for satellite imagery processing. During this process, I made some initial comparisons between GEE and MPC, which I’ve detailed below.

  1. I viewed a spatially mosaicked dataset in MPC. However, one can download only individual images and not the mosaic of the area of interest. The ready-to-use codes for individual images are generated at MPC Explorer which can be used to view the image in MPC Hub. I also tried mosaicking the Sentinel dataset manually in MPC hub using this tutorial which uses GDAL’s ‘build VRT’ function. The tutorial used the National Agriculture Imagery Program (NAIP) dataset. However, the GDAL ‘build vrt’ code failed to work on the Sentinel dataset, as Sentinel and NAIP datasets are stored in different hierarchical formats.

  2. Customised functions make basic raster and vector processing easy, thereby enhancing user experience.

  3. The MPC datasets can be visualised and analysed using QGIS tools within MPC without the need to download them.

  4. Users can create Dask Gateways or switch to different computing environments based on their task to scale the computation and fasten the process. This needs coding experience, and it is not automated. Users decide which is the best environment for their task.

  5. STAC - Spatio-temporal Asset catalogue - a commonplace for users to look for spatial data. This was created to have a common code for accessing all spatial datasets. 

  6. “gdalcubes” is a library to represent collections of Earth Observation (EO) data. Data cubes may be simply exported as NetCDF files or directly streamed into external software such as R or Python. gdalcubes is not a database instead simply links to existing files / GDAL datasets - Source

I believe that when trying to compute large datasets, MPC has an advantage over GEE, as it provides access to different environments with a range of available computational power. The familiarity of using known Python and R libraries for analyses can be comforting for experienced users. On the other hand, I realised that all datasets in MPC are not homogeneously stored, and thus the code to extract & manipulate data may not be applicable to all datasets uniformly. While MPC is very useful for specific use cases, it will become even more useful when the planned introduction  of customised raster and vector data manipulation functions is completed. 

With regards to GEE, existing tutorials, extensive documentation and more customizability make tasks such as visualisation, storage, conversion between spatial data formats, raster and vector functions (such as mosaic and clip), easier for me than in the newer MPC. The most important utility is the flexibility to download analyses in GEE as this makes the data publishable and replicable. Bulky tasks like supervised classification are also less time consuming in GEE than in desktop GIS because of customised functions. While GEE requires minimal coding experience, most MPC tasks seem to be available only to skilled professionals at this point.

In conclusion, I’d like to caveat this article with the fact that at the time of writing, I have more experience using GEE than MPC, and I’m sure I haven’t explored the full capabilities of both platforms. Suggestions or comments are welcome; please get in touch via our contact form.