Upload
others
View
2
Download
0
Embed Size (px)
Citation preview
Spatial distribution of rice planting pattern using Sentinel-1A SAR in Pabuaran District, Subang Regency, Indonesia
Hana YAdi Wibowo, M.Si., PhD.Drs. Kustiyo, M.Si.
Introduction and Literature Review
Almost all Indonesians consume
rice as a staple food [8].
Approximately 50% of the national rice
production concentrated in Java Island, and
widely planted in the northern part of West
Java, especially Subang Regency [4].
Subang Regency is a strategic area for national rice
production centre. Pabuaran District is one of the districts
in Subang that have wide planting area, 9,328 hectares in
a year. However, the productivity of rice fields in
Pabuaran District tends to fluctuate every year [6].
The fluctuating and uncertain
productivity → will affect the
availability of national rice [7].
Remote sensing techniques offer
considerable benefits for detecting
rice growth in a short time and at low
cost [8] [14].
Source: grindgis.com
Monitoring rice plants using SAR
Sentinel-1A data has a large effect on the
backscatter value [13].
→ →
→ →
→
Method
Rice Planting Period Identification.
→Maximum Likelihood Classification: to group the data that have relatively
same backscatter and spectral values into several classes. Resulting in five
phases; land preparation phase, vegetative phase, reproductive phase,
generative phase, and the fallow phase
The maximum likelihood classification results then compared with the
ground truth data with statistical analysis using a confusion matrix.
Spatial Distribution of Rice Planting Pattern.
→Grouped by identifying changes in the rice planting period at each sample
points by considering at the trend of backscatter value, and information from
the interviews with the farmers during field surveys. Sample locations
(pixels) which similar temporal pattern and backscatter value then grouped
into the same class.
Data Collection.
→14 scenes Sentinel-1A imagery (October 2018 to November 2019) from Google Earth Engine
Data Processing.
→Sentinel-1A images are downloaded using GEE and have been processed in some stages automatically
using Sentinel-1 Toolbox from ESA: Thermal Noise Removal, Radiometric Calibration, and Terrain
Correction.
Rice Planting Period
The planting periods in Pabuaran District is divided into three periods,namely October 2018-January 2019, February 2019-May 2019, and June2019-September 2019. This split refers to the trend of backscatter valuesand harvesting data from Subang Regency Agriculture Office in 2018 until2019. Based on the data from the Subang Regency Agriculture Office, thehighest harvested area for rice fields in Pabuaran District are in January,April, and August
Results and Discussion
-30
-25
-20
-15
-10
-5
0
10 11 12 1 2 3 4 5 6 7 8 9 10 11-30
-25
-20
-15
-10
-5
0
10 11 12 1 2 3 4 5 6 7 8 9 10 11
-30-25-20-15-10-50
10 11 12 1 2 3 4 5 6 7 8 9 10 11
Colour Rice growth phase
Land preparation (0-34 days)
Vegetative (35-55 days),
Reproductive (56-90 days),
Generative (91-120 days)
Fallow (> 120 days)
SAR backscatter behaviour regarding rice planting period
Triple-cropped rice Double-cropped rice
Single-cropped rice
Results and Discussion
Distribution of Rice Planting Pattern
Based on the trend of the backscatter value at each sample points, there are six patterns of rice planting pattern in PabuaranDistrict, Subang Regency (Figure 5). The rice planting pattern is determined based on changes in the backscatter valuethroughout the year to determine when the paddy fields were planted with rice and left empty, which is also supported by theresults of interviews with farmers.
The use of SAR data in viewing the Sentinel-1A backscatter value can use for monitoring the phase of rice growth. By using
time series data, it can find that for 14 months, from October 2018 to November 2019, the paddy fields in Pabuaran District
have different rice planting period, those are single-cropped rice, double-cropped rice, and triple-cropped rice. The beginning
of the planting period is marked by the lowest backscatter value because the energy transmitted is reflected away from the
sensor because the surface of the rice fields is still smooth. Meanwhile, the backscatter value that continues to increase until it
reaches a maximum indicates that rice plants are in the vegetative to a reproductive phase whereas energy reflected in all
directions. The various planting periods can see from the trend of the backscatter value at the sample locations.
The rice planting pattern is determined based on changes in the backscatter value throughout the year to determine when the
paddy fields were planted with rice and left empty, which is also supported by the results of interviews with farmers. The rice
planting pattern in Pabuaran District, Subang Regency based on the backscatter value pattern is divide into six classes. Those
are (1) paddy-paddy-paddy, (2) paddy-paddy-fallow, (3) paddy-fallow-paddy, (4) fallow-paddy-paddy, (5) paddy-fallow-
fallow, and (6) fallow-paddy-fallow. Dominated of planting patterns on paddy-paddy-fallow that distributed around Pabuaran
District.
Conclusion
[1] Agustan and R Shofiyati 2015 Prosiding Pertemuan Ilmiah Nasional MAPIN XX 41.
[2] Triscowati D W, Sartono B, Kurnia A, Dirgahayu D and Wijayanto A W 2020 International Journal of Remote Sensing and Earth Sciences (IJReSES), 16 196
[3] Lestari E A P and Damayanti A 2020 IOP Conf. Ser.: Earth Environ. Sci. 481 012069
[4] Wahyunto, Pendugaan Produktivitas Tanaman Padi Sawah Melalui Analisis Citra Satelit, Jurnal Informatika Pertanian, 2015, Volume 15: 853–69.
[5] Wahyunto W and Heryanto B 2006 Informatika pertanian 15 869
[6] Anon 2017 Badan Pusat Statistik Kabupaten Subang
[7] Tsani Q P 2016 Pola Masa Tanam dan Distribusi Spasial Tanaman Padi Sawah di Kabupaten Sragen dan Karanganyar
[8] Panuju D R, Heidina F, Trisasongko B H, Tjahjono B, Kasno A and Syafril A H 2009 Jurnal Ilmiah Geomatika, 15 16.
[9] Torbick N, Chowdhury D, Salas W, Qi J 2017 Remote Sensing 9 2017
[10] Ardiansyah and Rokhmatuloh. Penginderaan Jauh Radar. 2016
[11] ESA European Space Agency 2018 Sentinel-1 – Satellite Description – Sentinel Online
[12] Supriatna S, Rokmatuloh R, Wibowo A, Shidiq I P A, Pratama G P and Gandharum L 2019 International Journal of GEOMATE, 17 106
[13] Mandal D, Kumar V, Bhattacharya A, Rao YS, Siqueira P and Bera S 2018 IEEE Geoscience and Remote Sensing Letters, 15 1951
[14] Fauziah Al Hasanah, Sepani Putiamini, Azalea Eugenie, Laju Gandharum, Sidik Mulyono, Albertus Sulaiman, 2016, Badan Pengkajian dan PenerapanTeknologi (BPPT), Prosedur Pengolahan Sentinel-1.
[15] Hardjowigeno, S., Subagyo, H., & Luthfi R. M. Morfologi dan Klasifikasi Tanah Sawah. Pusat Penelitian dan Pengembangan Tanah dan Agroklimat 2004
References