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"Urban features change very rapidly due to quick urbanization, especially for developing countries. It creates a problem for city planners and administrators as terrestrial method of surveying and mapping always lags behind to prove recent and accurate data on urban features. No wonder that remote sensing technology is called for in this respect. In adopting remote sensing technology, however, there is a problem whether it will be better to use airborne or spaceborne remote sensing. The main objective set in this stage is to study the interpretability of both systems using manual and digital methods. In the manual interpretation, the smallest area feature which is recognizable is 8x ground resolution for air photo, 5px for color composite Landsat image and 1px for SPOT image of extremely good example. For linear features, it is 0.3 ground resolution, 0.6px, and 0.5px respectively."

"Images acquired by the SIR-A in 1981 demonstrate the capability of this microwave remote sensing system to perceive and map a wide range of different surface features. A selection of West Java scene displays this capability with respect to earth resources such as geology, geomorphology, land cover, and land use. The study area is grouped into nine units on the basis of their drainage patterns and image texture characteristics."

"The use of remote sensing techniques is indispensable for Indonesia due to the large size of its territory, most of which is of difficult access and of little known regional potential. Some areas are covered by clouds almost all the year round so that remote sensing system using visibilities up to the thermal portion of the electromagnetic spectrum fail to record them. There is no other way but to apply the microwave energy for such areas, the passive as well as the active one. This paper deals with the data extraction from Sir-B image of Rimbobujang area and its surroundings in Sumatra with special reference to the identification of settlements. It is a result of image interpretation followed by a three days field check in the study area. Comparison is also made with SPOT and Landsat MSS images. SIR-B image proves to be a reasonably good tool to identify rural settlement in an open area, especially for that with high density of houses. Its use to identify towns and cities is more recommended."

"The book focuses on new challenging prospects for the use of EO in archaeology not only for probing the subsurface to unveil sites and artifacts, but also for the management and valorization as well as for the monitoring and preservation of cultural resources. The book provides a first-class understanding of this revolutionary scenario which was unthinkable several years ago.The book offers : (i) an excellent collection of outstanding articles focusing on satellite data processing, analysis and interpretation for archaeological applications, (ii) impressive case studies, (iii) striking examples of the high potential of the integration of multi-temporal, multi-scale, multi-sensors techniques."

"Awan merupakan salah satu objek dalam citra satelit penginderaan jauh sensor optis yang keberadaanya sering kali mengganggu proses pengolahan citra penginderaan jauh. Deteksi awan secara akurat merupakan tugas utama dalam banyak aplikasi penginderaan jauh. Oleh karena itu, deteksi awan secara tepat khususnya pada citra satelit optis resolusi sangat tinggi merupakan suatu pekerjaan yang sangat menantang. Penelitian ini bertujuan untuk mendeteksi objek awan pada data citra satelit penginderaan jauh resolusi sangat tinggi. Penelitian ini menggunakan algoritma deep learning yaitu Convolutional Neural Network (CNN) dan segmentasi Simple Linear Iterative Clustering (SLIC) superpixel untuk mendeteksi objek awan pada citra satelit penginderaan jauh. Penelitian ini menggunakan SLIC untuk mengelompokkan citra ke dalam superpiksel. Penelitian ini juga merancang CNN untuk mengekstrak fitur dari citra dan memprediksi superpiksel sebagai salah satu dari dua kelas objek yaitu awan dan bukan awan. Penelitian ini menggunakan data citra satelit resolusi sangat tinggi Pleiades multispectral dengan resolusi 50 cm. Deteksi awan dilakukan dengan berbagai macam skenario. Hasilnya, metode yang diusulkan mampu mendeteksi objek awan dengan performa akurasi sebesar 91.33%.

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Clouds are one of the objects in optical sensor remote sensing satellite images whose presence often interferes with the remote sensing image processing process. Accurate cloud detection is a key task in many remote sensing applications. Therefore, precise cloud detection, especially in very high-resolution optical satellite imagery, is a very challenging task. This study aims to detect cloud objects in very high-resolution remote sensing satellite imagery data. This study uses a deep learning algorithm, namely Convolutional Neural Network (CNN) and Simple Linear Iterative Clustering (SLIC) superpixel segmentation to detect cloud objects in remote sensing satellite images. This study uses SLIC to group images into superpixels. This study also designed a CNN to extract features from the image and predict the superpixel as one of two classes of objects, namely cloud, and non-cloud. This study uses very high-resolution Pleiades multispectral satellite imagery data with a resolution of 50 cm. Cloud detection is carried out in various scenarios. As a result, the proposed method can detect cloud objects with an accuracy performance of 91.33%."

"Pulau Derawan terkenal akan kejernihan dan keindahan perairan laut dangkalnya membuatnya memiliki daya tarik tersendiri yang memikat para wisatawan. Kegiatan pembangunan penginapan dan dermaga di Pulau Derawan dilakukan sebagai akomodasi dan kemudahan aksesibilitas. Namun pengaruh dari pembangunan fasilitas penginapan dan dermaga berdampak pada terjadinya perubahan luas padang lamun di sekitar perairan laut dangkal Pulau Derawan. Hal ini dapat mempengaruhi pada ekosistem laut lainnya. Penelitian ini dilakukan habitat bentik untuk melihat perubahan distribusi padang lamun baik dilihat dari luas dan kerapatannya dari tahun 2003, 2011, dan 2021, serta melihat pengaruh pembangunan fasilitas penginapan dan dermaga terhadap distribusi padang lamunnya. Pengambilan data menggunakan survei lapang dengan metode foto transek, kemudian peta habitat bentik diolah di Google Earth Engine menggunakan algoritma koreksi kolom air Lyzenga serta memanfaatkan metode klasifikasi unsupervised. Algoritma NDBI (Normalized Different Building Index) dan digitasi lahan digunakan utk melihat perkembangan penginapan dan dermaga. Hasil menunjukkan terjadi degradasi padang lamun selama tahun 2003, 2011, dan terjadi penurunan tingkat kerapatannya, terlebih bila mendekati garis pantai di wilayah selatan. Kegiatan pembangunan fasilitas penginapan dan dermaga tahun 2003, 2011, 2021 menunjukkan perkembangan yang pesat dan merata di seluruh wilayah selatan pulau. Hasil analisis menunjukkan adanya keterkaitan antara pembangunan wisata dengan distribusi padang lamun yaitu terjadinya degradasi.

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Derawan Island is famous for the clarity and beauty of its shallow sea waters, making it a special attraction that attracts tourists. The construction of inns and docks on Derawan Island is carried out as accommodation and ease of accessibility. However, the influence of the construction of lodging facilities and docks has an impact on changes in the area of seagrass beds around the shallow sea waters. This can affect other marine ecosystems. The research was carried out in benthic habitats to see changes in the distribution of seagrass beds in terms of area and the density from 2003, 2011, and 2021, as well as to see the effect of the construction of lodging facilities and docks on the distribution of seagrass beds. Data were collected using a field survey using the photo transect method, then the benthic habitat map was processed in Google Earth Engine using the Lyzenga water column correction algorithm and using the unsupervised classification method. The Normalized Different Building Index algorithm and land digitization are used to see the development of lodging and piers. The results showed that there was a degradation of seagrass beds during 2003 until 2021 and also decrease in the density level, especially when approaching the coastline in the southern region. The construction activities of lodging and dock facilities in 2003, 2011, 2021 showed rapid and evenly distributed development throughout the southern region of the island. The results of the analysis show that there is a link between tourism development and the distribution of seagrass beds, namely the occurrence of degradation."

"This textbook is one of the first to explain the fundamentals and applications of remote sensing at both undergraduate and graduate levels. Topics include definitions and a brief history of payloads and platforms, data acquisition and specifications, image processing techniques, data integration and spatial modeling, and a range of applications covering terrestrial, atmospheric, oceanographic and planetary disciplines. The policy and law issues of remote sensing and the future trends on the horizon are also covered. Remote sensing is an exciting, dynamic technology that is transforming the Earth sciences - terrestrial, atmospheric, and marine - as well as the practices of agriculture, disaster response, engineering, natural resources, providing evidence in legal cases and documented humanitarian crises, and many other fields. Increasingly, understanding of these techniques will be central to a number of disciplines, particularly as the technology advances."

"Indonesia's geographic expanse and urgent need monitoring natural resourches make it a potentially large user of satellite remote sensing products. After a brief presentation of major institutions, universities, and organizations dealing with this technique, the paper reviews and analyses major constraints, i.e. cloud cover, atmosphere, landscape, and equipment. It is followed by some examples of SPOT-derived local operational achievements. These are related to cartographic aspects, land cover mapping, agricultural-suburban interface, forestly, soils and geology. Finally, economic aspects and perspectives are considered. As confirmed by other independent works, the SPOT-derived examples stress that this type of data, especially the 10m resolution data, seem to offer a viable alternative to more expensive aerial photographs, particularly when repetive coverage is required."