Target decomposition using dual-polarization sentinel-1 SAR data: Study on crop growth analysis

Salma, Shaik; Keerthana, N.; Dodamani, B. M.

doi:10.1016/j.rsase.2022.100854

Cited by 7 publications

(2 citation statements)

References 34 publications

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“…The process of reaching the peak of this career is closely related to the KUM collection target or lecturer credit scores. According to (Salma, Keerthana, & Dodamani, 2022) defines that KUM is the points that lecturers get after carrying out main tasks and supporting tasks. Lecturers who are productive in carrying out all their tasks will find it easier to achieve the maximum KUM.…”

Section: Lecturer Career Development In Increasing Productivity Of Th...mentioning

confidence: 99%

Analysis of Lecturer Performance In Increasing Productivity of Indonesian Polytechnic Venezuela In Aceh Besar

Maghfirah,

Usman,

Niswanto

2023

ijebss

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Perguruan tinggi merupakan salah satu subsistem pendidikan nasional. Keberadaan perguruan tinggi berperan penting dalam kehidupan bangsa dan Negara. Kualitas perguruan tinggi bergantung kepada kualitas dosen terutama berkaitan dengan kompetensi profesional dosen yang akan mendorong bagi peningkatan mutu pendidikan tinggi sehingga pada akhirnya memiliki pengaruh terhadap kemajuan pendidikan nasional. Dosen memiliki tugas dan kewajiban utama yang tertuang dalam tridharma perguruan tinggi, tugas tersebut wajib dilaporkan kepada pihak institusi maupun Lembaga layanan Pendidikan tinggi pada setiap semester dan akan menghasilkan luaran capaian hasil kerja secara berkala yang sering disebut dengan beban kerja dosen. Beban Kerja Dosen adalah laporan kinerja dosen yang mencakup komponen pelaksanaan pendidikan, penelitian dan pengabdian kepada masyarakat, serta penunjang kegiatan tridharma, dan atau tugas tambahan dalam kurun waktu tertentu. Penelitian ini bertujuan untuk menganalisa kinerja dosen dalam meningkatkan produktivitas Politeknik Indonesia Venezuela. Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian deskriptif. Teknik pengumpulan data menggunakan observasi, wawancara, dan dokumentasi. Adapun teknik analisis data yang digunakan adalah analisis deskriptif kualitatif dengan teknik reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa Capaian kinerja dosen Poliven dalam bidang pengembangan karir atau kepangkatan tidak meningkatkan produktivitas Poliven, hal ini disebabkan karena rata-rata dosen poliven tidak teratur dalam mengusulkan jabatan fungsional atau kepangkatan sesuai dengan jadwal yang telah ditentukan. Capaian kinerja dosen Poliven dalam bidang tridharma perguruan tinggi yaitu pada bidang pendidikan dan pengajaran sudah memenuhi sasaran beban kinerja dosen dengan baik sehingga dapat meningkatkan produktivitas poliven. Capaian Kinerja dosen poliven pada bidang tridharma perguruan tinggi yaitu pada bidang penelitian dan pengabdian masyarakat hanya sedikit mengalami peningkatan dan memenuhi sasaran beban kinerja dosen, hal ini disebabkaan karena ada hasil penelitian dan pengabdian masyarakat belum ada yang memiliki HAKI atau belum dipatenkan

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Section: Lecturer Career Development In Increasing Productivity Of Th...mentioning

confidence: 99%

Analysis of Lecturer Performance In Increasing Productivity of Indonesian Polytechnic Venezuela In Aceh Besar

Maghfirah,

Usman,

Niswanto

2023

ijebss

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“…Texture is dependent on three variables: (i) size of the area being investigated/processed; (ii) the relative sizes of the discrete tonal features; and (iii) spatial distribution of discrete tonal features [2]. Gray level co-occurrence matrix (GLCM) has proven to be a powerful basis for use in texture classification [22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Synthetic Aperture Radar Remote Sensing for Crop Classification

Sahu¹,

Sahu²

2023

IJPSS

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This Study proposes the approach for crop classification using the Grey Level Co-occurrence Matrix feature of Synthetic Aperture Radar (SAR) images. The method utilizes the SAR Images acquired by Sentinel 1A SAR Data and extract textural features using GLCM. In this study, we investigate the potential of Grey Level Co-occurrence Matrix (GLCM)-based texture information for horticulture crop classification with SAR images in Kharif and cloud weather condition. A study on Synthetic Aperture Radar (SAR) satellite imagery was conducted in Chhattisgarh with the objective to evaluate the potential of different texture parameters among crop. The SAR data were pre-processed for textural analysis having entire angle and equal distance quantization. The results were categorized among different parameters showing significant variation for horticulture crops for Contrast, Dissimilarity, Homogeneity, ASM, Energy, Entropy and GLCM Mean. The statistical analysis was done for fruit crop along with major kharif crop of study area. The results shows that mean backscatter value was lowest for banana (99.12 dB) and highest for Mango (198.26 dB) regarding contrast textural property in VH Channel whereas mean backscatter value in VH Channel w.r.t to energy was maximum for banana (0.60 dB) followed by papaya (0.49 dB) and guava (0.45 dB) and least for mango (0.44 dB). The mean backscatter value for GLCM mean textural property in VH channel was shown maximum by banana (51.24 dB) followed by papaya (41.96 dB) and mango (32.98 dB). These results indicate the usefulness of texture information for classification of SAR images, particularly when acquisition of optical images is difficult in Kharif and cloud weather condition for crop classification. Thus GLCM feature of SAR Data proven to be significant for the classification of horticulture crops.

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Analysis of RVI for rice crops in small-scale agricultural fields using Sentinel-1 SAR data: case study on LAI retrieval using regression algorithms

Salma,

Ket,

Dodamani

2024

Paddy Water Environ

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Target decomposition using dual-polarization sentinel-1 SAR data: Study on crop growth analysis

Cited by 7 publications

References 34 publications

Analysis of Lecturer Performance In Increasing Productivity of Indonesian Polytechnic Venezuela In Aceh Besar

Analysis of Lecturer Performance In Increasing Productivity of Indonesian Polytechnic Venezuela In Aceh Besar

Synthetic Aperture Radar Remote Sensing for Crop Classification

Analysis of RVI for rice crops in small-scale agricultural fields using Sentinel-1 SAR data: case study on LAI retrieval using regression algorithms

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