For developing countries, detailed soil resource data and maps are essential in land-use planning. Unfortunately, obtaining detailed soil data for mapping is expensive. Detailed soil studies and mapping in developing countries often use the grid method. In addition to being time-consuming, the grid method needs a lot of sample points and surveyors. Geomorphometry can be a less expensive alternative for detailed soil mapping. Geomorphometry uses computationally measured terrain characteristics to describe other hard-to-measure terrain and soil properties. In our study, landform arrangements and slopes were analyzed together to create a map of soil pH. Bompon watershed, Indonesia, was used as a case study. Soil mapping units with potentially similar soil pH were created based on a classification system of the two geomorphometric parameters. Soil samples were taken from each of the units. The samples' soil pH was measured and compared to the geomorphometric predicted result. Regression tests were performed to see the significance of geomorphometric parameters on soil pH conditions. Regression tests show that the results of
p
value of the four soil layers are 0.046, 0.019, 0.037, and 0.047, respectively, on a 5% confidence level. According to the test result, landform arrangements and slopes can indicate soil pH conditions in Bompon. Our estimate suggests that our geomorphometric method is cheaper than the grid method by a factor of seven. The ability to use geomorphometric parameters to describe other soil properties could enable a cheap and fast production of detailed soil maps for developing countries.
Perkembangan wahana UAV di Indonesia memiliki banyak manfaat, salah satunya ada di bidang kebencanaan longsor. Telah banyak pemetaan hingga pemodelan bencana longsor yang memanfaatkan data dari wahana UAV. Namun, hingga saat ini masih banyak ditemukan kekurangan dalam praktiknya. Aspek yang dianggap cukup berpengaruh dalam kasus ini adalah sudut kamera UAV. Penelitian ini dilakukan untuk melihat perbandingan pengaruh sudut kemiringan kamera UAV saat pengambilan gambar area longsor dengan kualitas foto yang dihasilkan. Daerah kajian secara geomorfologis berada di wilayah bentuklahan transisi material periode tersier dengan kuarter sehingga rawan terjadi longsor. Kawasan longsor yang diambil memiliki beberapa karakteristik, yakni beda tinggi sekitar 60 meter, material alterasi breksi, dan tutupan vegetasi yang rapat. Pengolahan hasil foto menggunakan perangkat lunak Agisoft Photo Scan versi 1.3.2 dengan variasi kualitas hasil olah rendah, sedang, dan tinggi. Seluruh variasi kualitas hasil olah dibandingkan berdasarkan pada parameter olah, yaitu effective overlap dan resolusi foto. Secara kualitatif, perbandingan antara hasil foto dengan sudut pengambilan 900 dan 600 terlihat sangat berbeda. Foto longsor yang dihasilkan dengan sudut 900 memiliki jumlah lubang relatif sedikit daripada sudut lain. Sehingga dapat disimpulkan bahwa sudut kamera terbaik untuk pembuatan peta dua dimensi daerah longsor adalah sudut 900. Hasil pada sudut pengambilan 900 memiliki keunggulan dibanding dengan sudut lainnya dari segi effective overlap, resolusi foto, dan tingkat kehalusan foto udara yang dihasilkan.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.